Nature-inspired optimization algorithms: Challenges and open problems

•An in-depth review of nature-inspired algorithms for optimization.•Analyze different algorithms from different perspectives.•Highlight challenging issues and open problems. Many problems in science and engineering can be formulated as optimization problems, subject to complex nonlinear constraints....

Full description

Saved in:

Bibliographic Details
Published in	Journal of computational science Vol. 46; p. 101104
Main Author	Yang, Xin-She
Format	Journal Article
Language	English
Published	Elsevier B.V 01.10.2020
Subjects	Algorithm Bat algorithm Convergence Cuckoo search Differential evolution Firefly algorithm Flower pollination algorithm Metaheuristic Nature-inspired computation Optimization Particle swarm optimization Stability Swarm intelligence Cuckoo search Stability Flower pollination algorithm Algorithm Particle swarm optimization Optimization Convergence Nature-inspired computation Metaheuristic Bat algorithm Firefly algorithm Differential evolution Swarm intelligence
Online Access	Get full text
ISSN	1877-7503 1877-7511
DOI	10.1016/j.jocs.2020.101104

Cover

Abstract	•An in-depth review of nature-inspired algorithms for optimization.•Analyze different algorithms from different perspectives.•Highlight challenging issues and open problems. Many problems in science and engineering can be formulated as optimization problems, subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually require sophisticated optimization algorithms, and traditional algorithms may struggle to deal with such problems. A current trend is to use nature-inspired algorithms due to their flexibility and effectiveness. However, there are some key issues concerning nature-inspired computation and swarm intelligence. This paper provides an in-depth review of some recent nature-inspired algorithms with the emphasis on their search mechanisms and mathematical foundations. Some challenging issues are identified and five open problems are highlighted, concerning the analysis of algorithmic convergence and stability, parameter tuning, mathematical framework, role of benchmarking and scalability. These problems are discussed with the directions for future research.
AbstractList	•An in-depth review of nature-inspired algorithms for optimization.•Analyze different algorithms from different perspectives.•Highlight challenging issues and open problems. Many problems in science and engineering can be formulated as optimization problems, subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually require sophisticated optimization algorithms, and traditional algorithms may struggle to deal with such problems. A current trend is to use nature-inspired algorithms due to their flexibility and effectiveness. However, there are some key issues concerning nature-inspired computation and swarm intelligence. This paper provides an in-depth review of some recent nature-inspired algorithms with the emphasis on their search mechanisms and mathematical foundations. Some challenging issues are identified and five open problems are highlighted, concerning the analysis of algorithmic convergence and stability, parameter tuning, mathematical framework, role of benchmarking and scalability. These problems are discussed with the directions for future research.
ArticleNumber	101104
Author	Yang, Xin-She
Author_xml	– sequence: 1 givenname: Xin-She surname: Yang fullname: Yang, Xin-She email: x.yang@mdx.ac.uk organization: School of Science and Technology, Middlesex University, London NW4 4BT, UK
BookMark	eNp9kM1OwzAMgCM0JMbYC3DqC3QkaddkiAuaxo80wQXOUZI6W6o2qZKABE9PuyEOHOaLLcufZX-XaOK8A4SuCV4QTKqbZtF4HRcU00OD4PIMTQlnLGdLQiZ_NS4u0DzGBg9RcL4ixRRtXmT6CJBbF3sboM58n2xnv2Wy3mWy3flg076Lt9l6L9sW3A5iJt04By7rg1ctdPEKnRvZRpj_5hl6f9i8rZ_y7evj8_p-m-uiqlJuQLNSKmZYBZRLSUFTRlipMRhOFVGSGkZorWpNuKG4rFfL1ZJXFZVYKS6LGeLHvTr4GAMYoW06nJqCtK0gWIxGRCNGI2I0Io5GBpT-Q_tgOxm-TkN3RwiGpz4tBBG1BaehHlzpJGpvT-E_SHx9ag
CitedBy_id	crossref_primary_10_1007_s42979_024_02612_y crossref_primary_10_1016_j_asoc_2021_107942 crossref_primary_10_3934_mbe_2023592 crossref_primary_10_1007_s12530_022_09432_6 crossref_primary_10_3390_su15021644 crossref_primary_10_1007_s11831_023_09912_1 crossref_primary_10_1016_j_iot_2024_101067 crossref_primary_10_1007_s11831_023_10055_6 crossref_primary_10_1515_jisys_2022_0063 crossref_primary_10_32604_csse_2022_021604 crossref_primary_10_3390_sym16111500 crossref_primary_10_3390_sym13122388 crossref_primary_10_1587_transinf_2022EDP7119 crossref_primary_10_3390_a16040208 crossref_primary_10_1109_LRA_2021_3072855 crossref_primary_10_1007_s11227_024_05930_3 crossref_primary_10_1016_j_asoc_2024_111477 crossref_primary_10_3390_math10091564 crossref_primary_10_1007_s11831_023_09900_5 crossref_primary_10_1080_0305215X_2024_2378352 crossref_primary_10_1016_j_asoc_2023_110329 crossref_primary_10_1016_j_nucengdes_2025_113899 crossref_primary_10_1080_24751839_2021_1935644 crossref_primary_10_1016_j_jer_2025_02_010 crossref_primary_10_1007_s44196_023_00248_z crossref_primary_10_1038_s41598_023_38203_9 crossref_primary_10_1371_journal_pone_0263387 crossref_primary_10_1109_ACCESS_2021_3128814 crossref_primary_10_3390_app122211367 crossref_primary_10_1080_00207543_2024_2424976 crossref_primary_10_1016_j_cosrev_2020_100342 crossref_primary_10_1155_2022_5443160 crossref_primary_10_1109_ACCESS_2022_3227510 crossref_primary_10_3390_fermentation10010012 crossref_primary_10_1109_ACCESS_2022_3202894 crossref_primary_10_1007_s44173_021_00001_9 crossref_primary_10_32604_cmc_2022_026370 crossref_primary_10_1007_s41870_024_01818_w crossref_primary_10_1002_dac_4895 crossref_primary_10_1109_ACCESS_2020_3021605 crossref_primary_10_3390_su12208495 crossref_primary_10_1007_s11042_021_11367_0 crossref_primary_10_3390_biomimetics10030176 crossref_primary_10_1007_s11831_022_09766_z crossref_primary_10_3390_math9182181 crossref_primary_10_1039_D4NR00105B crossref_primary_10_1109_ACCESS_2020_3043174 crossref_primary_10_3390_bioengineering9090482 crossref_primary_10_3390_math12172632 crossref_primary_10_1002_tal_2008 crossref_primary_10_1007_s00500_025_10428_y crossref_primary_10_3390_genes12111814 crossref_primary_10_3390_app14188539 crossref_primary_10_1007_s44196_021_00030_z crossref_primary_10_1016_j_jocs_2022_101886 crossref_primary_10_1016_j_jocs_2021_101483 crossref_primary_10_1038_s41598_022_11565_2 crossref_primary_10_1371_journal_pone_0260725 crossref_primary_10_1007_s10586_024_04272_2 crossref_primary_10_3389_fenvs_2024_1429410 crossref_primary_10_1016_j_asoc_2023_111204 crossref_primary_10_1038_s41598_024_77367_w crossref_primary_10_1016_j_cie_2022_108161 crossref_primary_10_1177_01423312241263637 crossref_primary_10_1007_s11403_023_00385_w crossref_primary_10_31590_ejosat_1024751 crossref_primary_10_1016_j_egyr_2021_09_113 crossref_primary_10_1109_ACCESS_2021_3054053 crossref_primary_10_1109_ACCESS_2025_3541975 crossref_primary_10_1016_j_engappai_2023_106459 crossref_primary_10_1142_S0219467822500164 crossref_primary_10_3390_app11177991 crossref_primary_10_1007_s11227_021_04100_z crossref_primary_10_3390_stats4010006 crossref_primary_10_1016_j_eswa_2024_124857 crossref_primary_10_1007_s00202_024_02580_9 crossref_primary_10_3390_electronics13050894 crossref_primary_10_1007_s42979_023_02558_7 crossref_primary_10_1016_j_knosys_2024_112098 crossref_primary_10_1016_j_eswa_2022_119029 crossref_primary_10_1080_02522667_2022_2092224 crossref_primary_10_1007_s12145_023_01098_1 crossref_primary_10_1007_s10462_024_10747_w crossref_primary_10_1017_jmo_2022_77 crossref_primary_10_3390_electronics11223824 crossref_primary_10_7717_peerj_cs_2393 crossref_primary_10_1007_s12065_021_00645_3 crossref_primary_10_32604_iasc_2022_024098 crossref_primary_10_3390_app13042586 crossref_primary_10_1007_s11042_022_12879_z crossref_primary_10_1109_ACCESS_2021_3100365 crossref_primary_10_1007_s11227_024_06592_x crossref_primary_10_3390_math9222942 crossref_primary_10_1007_s11831_022_09819_3 crossref_primary_10_1016_j_knosys_2023_111257 crossref_primary_10_30526_36_4_3195 crossref_primary_10_1007_s11280_022_01053_y crossref_primary_10_37394_23203_2023_18_13 crossref_primary_10_1016_j_procs_2024_08_097 crossref_primary_10_3390_math11020282 crossref_primary_10_1007_s00477_025_02914_4 crossref_primary_10_1088_1742_6596_2858_1_012043 crossref_primary_10_1109_ACCESS_2024_3418968 crossref_primary_10_1142_S0218001421590333 crossref_primary_10_1038_s41598_024_72478_w crossref_primary_10_23939_acps2024_02_181 crossref_primary_10_3390_s22041674 crossref_primary_10_1103_PhysRevLett_130_267401 crossref_primary_10_1016_j_petrol_2021_109327 crossref_primary_10_1109_ACCESS_2025_3543375 crossref_primary_10_1109_ACCESS_2021_3079119 crossref_primary_10_3390_e24070973 crossref_primary_10_3390_math10111797 crossref_primary_10_1016_j_jocs_2022_101722 crossref_primary_10_1007_s00500_023_08782_w crossref_primary_10_3390_s23136231 crossref_primary_10_1155_2021_3353926 crossref_primary_10_1134_S0005117921060011 crossref_primary_10_1002_spe_3025 crossref_primary_10_1007_s11869_022_01214_y crossref_primary_10_1016_j_watres_2023_119745 crossref_primary_10_3390_drones7070427 crossref_primary_10_1016_j_dsp_2025_105142 crossref_primary_10_1016_j_neucom_2022_04_083 crossref_primary_10_1007_s12530_022_09425_5 crossref_primary_10_1016_j_matcom_2025_02_012 crossref_primary_10_1109_ACCESS_2020_3009429 crossref_primary_10_1007_s11760_022_02171_w crossref_primary_10_1103_PhysRevE_103_022101 crossref_primary_10_3390_s24154791 crossref_primary_10_3390_app13074643 crossref_primary_10_1038_s41598_023_44023_8 crossref_primary_10_1109_ACCESS_2023_3283571 crossref_primary_10_1177_09544089221116166 crossref_primary_10_1007_s44196_024_00439_2 crossref_primary_10_55544_jrasb_3_3_8 crossref_primary_10_1142_S021926592141019X crossref_primary_10_1109_ACCESS_2021_3101939 crossref_primary_10_1109_ACCESS_2023_3257190 crossref_primary_10_1007_s11277_024_11584_4 crossref_primary_10_1007_s00521_022_08139_8 crossref_primary_10_1080_23311916_2024_2364041 crossref_primary_10_1371_journal_pone_0287744 crossref_primary_10_1016_j_asoc_2021_107650 crossref_primary_10_3390_app10196653 crossref_primary_10_1007_s12065_023_00868_6 crossref_primary_10_1109_ACCESS_2021_3052489 crossref_primary_10_1016_j_jestch_2021_06_012 crossref_primary_10_1016_j_rser_2024_115264 crossref_primary_10_3390_biomimetics9030130 crossref_primary_10_1002_int_22381 crossref_primary_10_1016_j_jksuci_2022_10_026 crossref_primary_10_3390_en17164040 crossref_primary_10_1007_s00500_021_05983_z crossref_primary_10_1002_nsg_12210 crossref_primary_10_3390_biomimetics8030305 crossref_primary_10_1016_j_swevo_2022_101127 crossref_primary_10_1109_ACCESS_2023_3244067 crossref_primary_10_1016_j_matdes_2022_110444 crossref_primary_10_35414_akufemubid_1387447 crossref_primary_10_1007_s11356_024_34368_6 crossref_primary_10_1155_2021_6455592 crossref_primary_10_3934_math_2023114 crossref_primary_10_1007_s11042_024_19548_3 crossref_primary_10_1016_j_asoc_2020_107077 crossref_primary_10_1016_j_advengsoft_2020_102877 crossref_primary_10_1016_j_chemosphere_2024_142683 crossref_primary_10_3390_w15213851 crossref_primary_10_1016_j_aej_2025_02_061 crossref_primary_10_1016_j_carbon_2024_119850 crossref_primary_10_1186_s12859_023_05274_4 crossref_primary_10_1038_s41598_024_78781_w crossref_primary_10_1016_j_knosys_2025_113169 crossref_primary_10_34133_research_0442 crossref_primary_10_3390_s22186826 crossref_primary_10_1093_jcde_qwaf014 crossref_primary_10_1002_apxr_202400035 crossref_primary_10_1080_15567036_2025_2464259 crossref_primary_10_1109_JSTARS_2022_3173821 crossref_primary_10_3390_su13137152 crossref_primary_10_1109_ACCESS_2021_3083220 crossref_primary_10_1109_ACCESS_2020_3007336 crossref_primary_10_1109_ACCESS_2022_3157400 crossref_primary_10_1007_s12293_021_00341_w crossref_primary_10_1007_s11831_024_10168_6 crossref_primary_10_1007_s10462_024_11023_7 crossref_primary_10_1016_j_rinp_2022_105968 crossref_primary_10_1016_j_jpowsour_2022_231003 crossref_primary_10_1109_ACCESS_2025_3543760 crossref_primary_10_31127_tuje_1412271 crossref_primary_10_1016_j_pnucene_2023_104799 crossref_primary_10_1109_ACCESS_2021_3072336 crossref_primary_10_1016_j_physa_2025_130378 crossref_primary_10_1016_j_knosys_2023_110305 crossref_primary_10_1016_j_cie_2022_108427 crossref_primary_10_1080_0305215X_2024_2365712 crossref_primary_10_3390_math12081201 crossref_primary_10_1007_s11042_022_12628_2 crossref_primary_10_3390_met12081335 crossref_primary_10_3390_math10020214 crossref_primary_10_1109_ACCESS_2021_3136239 crossref_primary_10_1142_S0218001422590273 crossref_primary_10_1038_s41598_025_88846_z
Cites_doi	10.1016/j.jcp.2007.06.008 10.1016/j.swevo.2013.06.001 10.1016/j.swevo.2011.02.001 10.1016/j.cnsns.2012.05.010 10.1109/TEVC.2006.872133 10.1007/s00500-017-2819-9 10.1016/j.engappai.2015.10.006 10.1007/s10462-018-9624-4 10.1016/j.eswa.2016.10.050 10.1145/937503.937505 10.1007/s00521-013-1367-1 10.1007/s00707-009-0270-4 10.1023/A:1008202821328 10.1016/j.orl.2007.10.005 10.1109/4235.585893 10.1109/4235.996017 10.1109/21.370197 10.1016/j.jocs.2017.06.005 10.1016/j.jocs.2013.10.002 10.1007/s00500-016-2114-1 10.1007/s00521-013-1402-2 10.1016/j.ins.2012.08.023 10.1016/j.ins.2009.03.004 10.1016/j.cor.2011.09.026 10.1016/j.jocs.2018.12.012 10.1016/S0377-2217(96)00121-X 10.1504/IJBIC.2012.044932 10.1137/S009753979732565X 10.1109/TEVC.2008.919004 10.1016/j.swevo.2018.04.001 10.1016/j.neucom.2018.03.038 10.1016/j.asoc.2017.06.046 10.1108/02644401211235834 10.1103/PhysRevE.49.4677 10.1016/j.eswa.2018.07.036 10.1109/MCS.2002.1004010 10.1016/j.swevo.2011.06.003 10.1111/j.1469-7998.2011.00810.x 10.1086/284507 10.1126/science.220.4598.671 10.1007/s00521-013-1498-4 10.1504/IJBIC.2013.055093 10.1109/4235.985692 10.1145/358141.358144 10.1109/TEVC.2005.856205 10.1016/j.jocs.2017.12.012 10.1016/j.procs.2013.05.251 10.1007/s00453-008-9244-5
ContentType	Journal Article
Copyright	2020 Elsevier B.V.
Copyright_xml	– notice: 2020 Elsevier B.V.
DBID	AAYXX CITATION
DOI	10.1016/j.jocs.2020.101104
DatabaseName	CrossRef
DatabaseTitle	CrossRef
DatabaseTitleList
DeliveryMethod	fulltext_linktorsrc
Discipline	Sciences (General) Business
EISSN	1877-7511
ExternalDocumentID	10_1016_j_jocs_2020_101104 S1877750320300144
GroupedDBID	--K --M .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5VS 7-5 71M 8P~ AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO AAYFN ABBOA ABFRF ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADMUD AEBSH AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD AXJTR BKOJK BLXMC EBS EFJIC EFLBG EJD EP3 FDB FEDTE FIRID FNPLU FYGXN GBLVA GBOLZ HVGLF HZ~ J1W KOM M41 MO0 N9A O-L O9- OAUVE P-8 P-9 P2P PC. Q38 RIG ROL SDF SES SPC SPCBC SSV SSZ T5K UNMZH ~G- AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD
ID	FETCH-LOGICAL-c366t-fec74ab7f76e28aa2ec27174c0ef82b1ba2f712dbdc18f204d95958662a0bb8a3
IEDL.DBID	.~1
ISSN	1877-7503
IngestDate	Wed Oct 01 04:25:08 EDT 2025 Thu Apr 24 22:59:25 EDT 2025 Fri Feb 23 02:45:41 EST 2024
IsPeerReviewed	true
IsScholarly	true
Keywords	Cuckoo search Stability Flower pollination algorithm Algorithm Particle swarm optimization Optimization Convergence Nature-inspired computation Metaheuristic Bat algorithm Firefly algorithm Differential evolution Swarm intelligence
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c366t-fec74ab7f76e28aa2ec27174c0ef82b1ba2f712dbdc18f204d95958662a0bb8a3
ParticipantIDs	crossref_citationtrail_10_1016_j_jocs_2020_101104 crossref_primary_10_1016_j_jocs_2020_101104 elsevier_sciencedirect_doi_10_1016_j_jocs_2020_101104
ProviderPackageCode	CITATION AAYXX
PublicationCentury	2000
PublicationDate	October 2020 2020-10-00
PublicationDateYYYYMMDD	2020-10-01
PublicationDate_xml	– month: 10 year: 2020 text: October 2020
PublicationDecade	2020
PublicationTitle	Journal of computational science
PublicationYear	2020
Publisher	Elsevier B.V
Publisher_xml	– name: Elsevier B.V
References	Joyce, Herrmann (bib0400) 2018 Cagnina, Esquivel, Coello Coello (bib0225) 2008; 32 Goldreich (bib0430) 2008 Simon (bib0165) 2008; 12 Yang (bib0030) 2010 Osaba, Yang, Diaz, Onieva, Masegosa, Perallos (bib0210) 2017; 21 Yang (bib0010) 2014 Yang (bib0060) 2013 Reyes-Sierra, Coello Coello (bib0065) 2006; 2 Osaba, Yang, Diaz, Lopez-Garcia, Carballedo (bib0270) 2016; 48 Rashedi, Nezamabadi-Pour, Saryazdi (bib0170) 2009; 179 Mantegna (bib0135) 1994; 49 Ghate, Smith (bib0355) 2008; 36 Wolpert, Macready (bib0395) 1997; 1 Greenhalgh, Marshal (bib0340) 2000; 30 He, Wang, Wang, Yang (bib0350) 2018; 744 Clerc, Kennedy (bib0305) 2002; 6 Abdel-Basset, Shawky (bib0090) 2019; 52 Yang, Cui, B, Gandom, Karamanoglu (bib0055) 2013 Yang, He (bib0285) 2019 Brest, Greiner, Boskovic, Mernik, Zumer (bib0380) 2006; 10 Davies (bib0120) 2011; 284 Osaba, Yang, Lopez-Garcia, Vazquez-Paravila (bib0215) 2019; 44 Khamsi, Kirk (bib0320) 2001 Hatamlou (bib0180) 2012; 222 Deb, Pratap, Agarwal, Mayarivan (bib0230) 2002; 6 Chakri, Khelif, Benouaret, Yang (bib0250) 2017; 69 Gandom, Yang (bib0245) 2014; 5 Blum, Roli (bib0275) 2003; 25 Granas, Dugundji (bib0315) 2003 Dorigo (bib0020) 1992 Kennedy, Eberhart, Shi (bib0045) 2001 Goldberg (bib0095) 1989 Senthilnath, Omkar, Mani (bib0280) 2011; 1 Chabert (bib0365) 1999 Boyd, Vandenberghe (bib0005) 2004 Colin (bib0115) 2000 Arara, Barak (bib0425) 2009 Price, Storn, Lampinen (bib0070) 2005 Yang (bib0035) 2009 Yang (bib0105) 2008 Engelbrecht (bib0050) 2005 Gutowski (bib0300) 2001 Khalil (bib0325) 1996 Altringham (bib0110) 1996 Rango, Palmieri, Yang, Marano (bib0220) 2018; 22 Khaluf, Vanhee, Simoens (bib0195) 2019; 31 Yang (bib0140) 2012 Wolpert, Macready (bib0415) 2005; 9 Kaveh, Talatahari (bib0175) 2010; 213 Goel, Maini (bib0200) 2018; 25 Holland (bib0015) 1975 Corne, Knowles (bib0410) 2003; 4 Papa, Rosa, Pereira, Yang (bib0255) 2017; 60 Grindstead, Snell (bib0290) 1997 Bhat, Miller (bib0295) 2002 Alyasseri, Khader, Al-Betar, Awadallah, Yang (bib0085) 2018 Gutjahr (bib0345) 2010; 10 Bertsekas, Nedic, Ozdaglar (bib0360) 2003 Ouaarab, Ahiod, Yang (bib0265) 2014; 24 Chen, Peng, Xing-Shi, Yang (bib0310) 2018; 114 Yang, Deb, Loomes, Karamanoglu (bib0385) 2013; 23 Kennedy, Eberhart (bib0025) 1995 Storn, Price (bib0100) 1997; 11 Cook (bib0420) 1983; 26 Palmieri, Yang, Rango, Santamaria (bib0260) 2018; 306 Gandomi, Alavi (bib0185) 2012; 17 Yang, Deb (bib0040) 2009 Yang, He (bib0080) 2013; 5 Yang, Karamanoglu, He (bib0145) 2013; 18 Eiben, Smit (bib0375) 2011; 1 Yang, Deb (bib0240) 2013; 40 Gupta, Ahlawat (bib0205) 2017; 23 Pavlyukevich (bib0130) 2007; 226 Passino (bib0160) 2002; 22 Kirkpatrik, GEllat, Vecchi (bib0155) 1983; 220 Yang, Gandomi (bib0235) 2012; 29 Suzuki (bib0330) 1995; 25 Aytug, Bhattacharrya, Koehler (bib0335) 1996; 96 Zdenek (bib0370) 2009 Auger, Teytaud (bib0405) 2010; 57 Yang, Deb (bib0125) 2014; 24 Waser (bib0150) 1986; 127 Fister, Fister, Brest, Yang (bib0075) 2013; 13 Yang, Deb (bib0190) 2012; 4 Jamil, Yang (bib0390) 2013; 4 Davies (10.1016/j.jocs.2020.101104_bib0120) 2011; 284 Kennedy (10.1016/j.jocs.2020.101104_bib0045) 2001 Blum (10.1016/j.jocs.2020.101104_bib0275) 2003; 25 Khamsi (10.1016/j.jocs.2020.101104_bib0320) 2001 Boyd (10.1016/j.jocs.2020.101104_bib0005) 2004 Wolpert (10.1016/j.jocs.2020.101104_bib0395) 1997; 1 Hatamlou (10.1016/j.jocs.2020.101104_bib0180) 2012; 222 Chakri (10.1016/j.jocs.2020.101104_bib0250) 2017; 69 Brest (10.1016/j.jocs.2020.101104_bib0380) 2006; 10 Reyes-Sierra (10.1016/j.jocs.2020.101104_bib0065) 2006; 2 Granas (10.1016/j.jocs.2020.101104_bib0315) 2003 Yang (10.1016/j.jocs.2020.101104_bib0190) 2012; 4 Yang (10.1016/j.jocs.2020.101104_bib0145) 2013; 18 Kennedy (10.1016/j.jocs.2020.101104_bib0025) 1995 Kaveh (10.1016/j.jocs.2020.101104_bib0175) 2010; 213 Yang (10.1016/j.jocs.2020.101104_bib0240) 2013; 40 Rashedi (10.1016/j.jocs.2020.101104_bib0170) 2009; 179 Khalil (10.1016/j.jocs.2020.101104_bib0325) 1996 Yang (10.1016/j.jocs.2020.101104_bib0040) 2009 Fister (10.1016/j.jocs.2020.101104_bib0075) 2013; 13 Simon (10.1016/j.jocs.2020.101104_bib0165) 2008; 12 Arara (10.1016/j.jocs.2020.101104_bib0425) 2009 Dorigo (10.1016/j.jocs.2020.101104_bib0020) 1992 Abdel-Basset (10.1016/j.jocs.2020.101104_bib0090) 2019; 52 Yang (10.1016/j.jocs.2020.101104_bib0235) 2012; 29 Osaba (10.1016/j.jocs.2020.101104_bib0215) 2019; 44 Waser (10.1016/j.jocs.2020.101104_bib0150) 1986; 127 Price (10.1016/j.jocs.2020.101104_bib0070) 2005 Alyasseri (10.1016/j.jocs.2020.101104_bib0085) 2018 Corne (10.1016/j.jocs.2020.101104_bib0410) 2003; 4 Bhat (10.1016/j.jocs.2020.101104_bib0295) 2002 Mantegna (10.1016/j.jocs.2020.101104_bib0135) 1994; 49 Senthilnath (10.1016/j.jocs.2020.101104_bib0280) 2011; 1 Colin (10.1016/j.jocs.2020.101104_bib0115) 2000 Joyce (10.1016/j.jocs.2020.101104_bib0400) 2018 Gandom (10.1016/j.jocs.2020.101104_bib0245) 2014; 5 Eiben (10.1016/j.jocs.2020.101104_bib0375) 2011; 1 Yang (10.1016/j.jocs.2020.101104_bib0035) 2009 Kirkpatrik (10.1016/j.jocs.2020.101104_bib0155) 1983; 220 Yang (10.1016/j.jocs.2020.101104_bib0105) 2008 Palmieri (10.1016/j.jocs.2020.101104_bib0260) 2018; 306 Yang (10.1016/j.jocs.2020.101104_bib0055) 2013 Osaba (10.1016/j.jocs.2020.101104_bib0210) 2017; 21 Rango (10.1016/j.jocs.2020.101104_bib0220) 2018; 22 Yang (10.1016/j.jocs.2020.101104_bib0060) 2013 He (10.1016/j.jocs.2020.101104_bib0350) 2018; 744 Goel (10.1016/j.jocs.2020.101104_bib0200) 2018; 25 Passino (10.1016/j.jocs.2020.101104_bib0160) 2002; 22 Yang (10.1016/j.jocs.2020.101104_bib0385) 2013; 23 Gupta (10.1016/j.jocs.2020.101104_bib0205) 2017; 23 Jamil (10.1016/j.jocs.2020.101104_bib0390) 2013; 4 Clerc (10.1016/j.jocs.2020.101104_bib0305) 2002; 6 Pavlyukevich (10.1016/j.jocs.2020.101104_bib0130) 2007; 226 Altringham (10.1016/j.jocs.2020.101104_bib0110) 1996 Wolpert (10.1016/j.jocs.2020.101104_bib0415) 2005; 9 Gandomi (10.1016/j.jocs.2020.101104_bib0185) 2012; 17 Zdenek (10.1016/j.jocs.2020.101104_bib0370) 2009 Yang (10.1016/j.jocs.2020.101104_bib0125) 2014; 24 Cagnina (10.1016/j.jocs.2020.101104_bib0225) 2008; 32 Osaba (10.1016/j.jocs.2020.101104_bib0270) 2016; 48 Aytug (10.1016/j.jocs.2020.101104_bib0335) 1996; 96 Storn (10.1016/j.jocs.2020.101104_bib0100) 1997; 11 Chen (10.1016/j.jocs.2020.101104_bib0310) 2018; 114 Gutowski (10.1016/j.jocs.2020.101104_bib0300) 2001 Cook (10.1016/j.jocs.2020.101104_bib0420) 1983; 26 Papa (10.1016/j.jocs.2020.101104_bib0255) 2017; 60 Holland (10.1016/j.jocs.2020.101104_bib0015) 1975 Goldreich (10.1016/j.jocs.2020.101104_bib0430) 2008 Engelbrecht (10.1016/j.jocs.2020.101104_bib0050) 2005 Yang (10.1016/j.jocs.2020.101104_bib0285) 2019 Khaluf (10.1016/j.jocs.2020.101104_bib0195) 2019; 31 Ghate (10.1016/j.jocs.2020.101104_bib0355) 2008; 36 Chabert (10.1016/j.jocs.2020.101104_bib0365) 1999 Yang (10.1016/j.jocs.2020.101104_bib0080) 2013; 5 Goldberg (10.1016/j.jocs.2020.101104_bib0095) 1989 Bertsekas (10.1016/j.jocs.2020.101104_bib0360) 2003 Yang (10.1016/j.jocs.2020.101104_bib0140) 2012 Yang (10.1016/j.jocs.2020.101104_bib0030) 2010 Ouaarab (10.1016/j.jocs.2020.101104_bib0265) 2014; 24 Grindstead (10.1016/j.jocs.2020.101104_bib0290) 1997 Suzuki (10.1016/j.jocs.2020.101104_bib0330) 1995; 25 Auger (10.1016/j.jocs.2020.101104_bib0405) 2010; 57 Yang (10.1016/j.jocs.2020.101104_bib0010) 2014 Greenhalgh (10.1016/j.jocs.2020.101104_bib0340) 2000; 30 Deb (10.1016/j.jocs.2020.101104_bib0230) 2002; 6 Gutjahr (10.1016/j.jocs.2020.101104_bib0345) 2010; 10
References_xml	– volume: 222 start-page: 175 year: 2012 end-page: 184 ident: bib0180 article-title: Black hole: a new heuristic optimization approach for data clustering publication-title: Inf. Sci. – year: 2009 ident: bib0370 article-title: Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities – volume: 57 start-page: 121 year: 2010 end-page: 146 ident: bib0405 article-title: Continuous lunches are free plus the design of optimal optimization algorithms publication-title: Algorithmica – volume: 26 start-page: 400 year: 1983 end-page: 408 ident: bib0420 article-title: An overview of computational complexity publication-title: Commun. ACM – volume: 4 start-page: 2506 year: 2003 end-page: 2512 ident: bib0410 article-title: Some multiobjective optimizers are better than others publication-title: Evol. Comput. – volume: 49 start-page: 4677 year: 1994 end-page: 4683 ident: bib0135 article-title: Fast, accurate algorithm for numerical simulation of Lévy stable stochastic process publication-title: Phys. Rev. E – volume: 60 start-page: 328 year: 2017 end-page: 335 ident: bib0255 article-title: Quaternion-based deep belief networks fine-tuning publication-title: Appl. Soft Comput. – volume: 284 start-page: 1 year: 2011 end-page: 14 ident: bib0120 article-title: Cuckoo adaptations: trickery and tuning publication-title: J. Zool. – year: 1996 ident: bib0325 article-title: Nonlinear Systems – year: 1992 ident: bib0020 article-title: Optimization, learning, and natural algorithms, Ph.D. Thesis – volume: 2 start-page: 287 year: 2006 end-page: 308 ident: bib0065 article-title: Multi-objective particle swarm optimizers: a survey of the state-of-the-art publication-title: Int. J. Comput. Intell. Res. – year: 2002 ident: bib0295 article-title: Elements of Applied Stochastic Processes – volume: 179 start-page: 2232 year: 2009 end-page: 2248 ident: bib0170 article-title: GSA: a gravitational search algorithm publication-title: Inf. Sci. – volume: 21 start-page: 5295 year: 2017 end-page: 5308 ident: bib0210 article-title: A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy publication-title: Soft Comput. – volume: 25 start-page: 28 year: 2018 end-page: 37 ident: bib0200 article-title: A hybrid of ant colony and firefly algorithms (HAFA) for solving vehicle routing problems publication-title: J. Comput. Sci. – year: 1999 ident: bib0365 article-title: A History of Algorithms: From the Pebble to the Microchips – volume: 1 start-page: 19 year: 2011 end-page: 31 ident: bib0375 article-title: Parameter tuning for configuring and analyzing evolutionary algorithms publication-title: Swarm Evol. Comput. – volume: 5 start-page: 224 year: 2014 end-page: 232 ident: bib0245 article-title: Chaotic bat algorithm publication-title: J. Comput. Sci. – volume: 18 start-page: 861 year: 2013 end-page: 868 ident: bib0145 article-title: Multi-objective flower algorithm for optimization publication-title: Procedia Comput. Sci. – year: 2001 ident: bib0320 article-title: An Introduction to Metric Space and Fixed Point Theory – volume: 10 start-page: 159 year: 2010 end-page: 187 ident: bib0345 article-title: Convergence analysis of metaheuristic publication-title: Anal. Inf. Syst. – volume: 69 start-page: 159 year: 2017 end-page: 175 ident: bib0250 article-title: New directional bat algorithm for continuous optimization problems publication-title: Expert Syst. Appl. – volume: 10 start-page: 646 year: 2006 end-page: 657 ident: bib0380 article-title: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark functions publication-title: IEEE Trans. Evol. Comput. – year: 2009 ident: bib0425 article-title: Computational Complexity: A Modern Approach – volume: 44 start-page: 273 year: 2019 end-page: 286 ident: bib0215 article-title: A discrete and improved bat algorithm for solving a medical goods distribution problem with pharmacological waste collection publication-title: Swarm Evol. Comput. – volume: 213 start-page: 267 year: 2010 end-page: 289 ident: bib0175 article-title: A novel heuristic optimization method: charged system search publication-title: Acta Mech. – start-page: 169 year: 2009 end-page: 178 ident: bib0035 article-title: Firefly algorithms for multimodal optimization publication-title: Proceedings of Fifth Symposium on Stochastic Algorithms, Foundations and Applications, volume 5792 – volume: 744 start-page: 53 year: 2018 end-page: 67 ident: bib0350 article-title: Global convergence analysis of cuckoo search using Markov theory publication-title: Nature-Inspired Algorithms and Applied Optimization – year: 2004 ident: bib0005 article-title: Convex Optimization – volume: 6 start-page: 58 year: 2002 end-page: 73 ident: bib0305 article-title: The particle swarm: explosion, stability, and convergence in a multidimensional complex space publication-title: IEEE Trans. Evol. Comput. – volume: 52 start-page: 2533 year: 2019 end-page: 2557 ident: bib0090 article-title: Flower pollination algorithm: a comprehensive review publication-title: Artif. Intell. Rev. – volume: 23 start-page: 2051 year: 2013 end-page: 2057 ident: bib0385 article-title: A framework for self-tuning optimization algorithm publication-title: Neural Comput. Appl. – volume: 306 start-page: 17 year: 2018 end-page: 36 ident: bib0260 article-title: Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team publication-title: Neurocomputing – volume: 48 start-page: 59 year: 2016 end-page: 71 ident: bib0270 article-title: An improved discrete bat algorithm for symmetric and assymmetric travelling salesman problems publication-title: Eng. Appl. Artif. Intell. – year: 2003 ident: bib0360 article-title: Convex Analysis and Optimization – volume: 24 start-page: 1659 year: 2014 end-page: 1669 ident: bib0265 article-title: Discrete cuckoo search algorithm for the travelling salesman problem publication-title: Neural Comput. Appl. – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0100 article-title: Differential evolution: a simple and efficient heuristic for global optimization publication-title: J. Global Optim. – year: 2019 ident: bib0285 article-title: Mathematical Foundations of Nature-Inspired Algorithms, Springer Briefs in Optimization – volume: 23 start-page: 195 year: 2017 end-page: 203 ident: bib0205 article-title: Usability feature selection via MBBAT: a novel approach publication-title: J. Comput. Sci. – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib0230 article-title: A fast and elitist multiobjective algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 17 start-page: 4831 year: 2012 end-page: 4845 ident: bib0185 article-title: Krill herd: a new bio-inspired optimization algorithm publication-title: Comput. Nonlinear Sci. Numer. Simul. – year: 1975 ident: bib0015 article-title: Adaptation in Nature and Artificial Systems – start-page: 91 year: 2018 end-page: 118 ident: bib0085 article-title: Variants of the flower pollination algorithm: a review publication-title: Nature-Inspired Algorithms and Applied Optimization – year: 2001 ident: bib0300 article-title: Lévy flights as an underlying mechanism for global optimization algorithms publication-title: ArXiv Math. Phys. E-Prints – start-page: 240 year: 2012 end-page: 249 ident: bib0140 article-title: Flower pollination algorithm for global optimization publication-title: Unconventional Computation and Natural Computation (UCNC 2012), volume 7445 – year: 2000 ident: bib0115 article-title: The Variety of Life – volume: 24 start-page: 169 year: 2014 end-page: 174 ident: bib0125 article-title: Cuckoo search: recent advances and applications publication-title: Neural Comput. Appl. – year: 1997 ident: bib0290 article-title: Introduction to Probability – volume: 4 start-page: 150 year: 2013 end-page: 194 ident: bib0390 article-title: A literature survey of benchmark functions for global optimisation problems publication-title: Int. J. Math. Modell. Numer. Optim. – volume: 40 start-page: 1616 year: 2013 end-page: 1624 ident: bib0240 article-title: Multiobjective cuckoo search for design optimization publication-title: Comput. Oper. Res. – volume: 1 start-page: 164 year: 2011 end-page: 171 ident: bib0280 article-title: Clustering using firefly algorithm: performance study publication-title: Swarm Evol. Comput. – volume: 29 start-page: 464 year: 2012 end-page: 483 ident: bib0235 article-title: Bat algorithm: a novel approach for global engineering optimization publication-title: Eng. Comput. – start-page: 210 year: 2009 end-page: 214 ident: bib0040 article-title: Cuckoo search via Lévy flights publication-title: Proceedings of World Congress on Nature and Biologically Inspired Computing (NaBIC 2009) – year: 2001 ident: bib0045 article-title: Swarm Intelligence – volume: 22 start-page: 4251 year: 2018 end-page: 4266 ident: bib0220 article-title: Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks publication-title: Soft Comput. – volume: 96 start-page: 195 year: 1996 end-page: 201 ident: bib0335 article-title: A Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets publication-title: Eur. J. Oper. Res. – start-page: 65 year: 2010 end-page: 74 ident: bib0030 article-title: A new metaheuristic bat-inspired algorithm publication-title: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010), volume 284 of Studies in Computational Intelligence – volume: 220 start-page: 671 year: 1983 end-page: 680 ident: bib0155 article-title: Optimization by simulated annealing publication-title: Science – volume: 114 start-page: 173 year: 2018 end-page: 182 ident: bib0310 article-title: Global convergence analysis of the bat algorithm using a Markovian framework and dynamic system theory publication-title: Expert Syst. Appl. – start-page: 27 year: 2018 end-page: 52 ident: bib0400 article-title: A review of no free lunch theorems, and their implications for metaheuristic optimisation publication-title: Nature-Inspired Algorithms and Applied Optimization – year: 2013 ident: bib0055 article-title: Swarm Intelligence and Bio-Inspired Computation: Theory and Applications – year: 2005 ident: bib0070 article-title: Differential Evolution: A Practical Approach to Global Optimization – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: bib0395 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. – year: 1989 ident: bib0095 article-title: Genetic Algorithms in Search, Optimization and Machine Learning – volume: 25 start-page: 655 year: 1995 end-page: 659 ident: bib0330 article-title: A Markov chain analysis on simple genetic algorithms publication-title: IEEE Trans. Syst. Man Cybern. – year: 1996 ident: bib0110 article-title: Bats: Biology and Behaviour – year: 2003 ident: bib0315 article-title: Fixed Point Theory – volume: 36 start-page: 285 year: 2008 end-page: 290 ident: bib0355 article-title: Adaptive search with stochastic acceptance probability for global optimization publication-title: Oper. Res. Lett. – volume: 12 start-page: 702 year: 2008 end-page: 713 ident: bib0165 article-title: Biogeography-based optimization publication-title: IEEE Trans. Evol. Comput. – volume: 25 start-page: 268 year: 2003 end-page: 308 ident: bib0275 article-title: Metaheuristics in combinatorial optimization: overview and conceptual comparison publication-title: ACM Comput. Surv. – year: 2008 ident: bib0430 article-title: Computational Complexity: A Conceptual Perspective – volume: 31 start-page: 33 year: 2019 end-page: 44 ident: bib0195 article-title: Local ant system for allocating robot swarms to time-constrained tasks publication-title: J. Comput. Sci. – volume: 30 start-page: 269 year: 2000 end-page: 282 ident: bib0340 article-title: Convergence criteria for genetic algorithm publication-title: SIAM J. Comput. – year: 2008 ident: bib0105 article-title: Nature-Inspired Metaheuristic Algorithms – volume: 226 start-page: 1830 year: 2007 end-page: 1844 ident: bib0130 article-title: Lévy flights, non-local search and simulated annealing publication-title: J. Comput. Phys. – year: 2014 ident: bib0010 article-title: Nature-Inspired Optimization Algorithms – volume: 5 start-page: 141 year: 2013 end-page: 149 ident: bib0080 article-title: Bat algorithm: literature review and applications publication-title: Int. J. Bio-Inspired Comput. – volume: 13 start-page: 34 year: 2013 end-page: 46 ident: bib0075 article-title: A comprehensive review of firefly algorithms publication-title: Swarm Evol. Comput. – start-page: 1942 year: 1995 end-page: 1948 ident: bib0025 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks – year: 2005 ident: bib0050 article-title: Fundamentals of Computational Swarm Intelligence – volume: 32 start-page: 319 year: 2008 end-page: 326 ident: bib0225 article-title: Solving engineering optimization problems with the simple constrained particle swarm optimizer publication-title: Informatica – volume: 22 start-page: 52 year: 2002 end-page: 67 ident: bib0160 article-title: Biomimicry of bacterial foraging for distributed optimization and control publication-title: IEEE Control Syst. – volume: 9 start-page: 721 year: 2005 end-page: 735 ident: bib0415 article-title: Coevolutionary free lunches publication-title: IEEE Trans. Evol. Comput. – year: 2013 ident: bib0060 article-title: Cuckoo Search and Firefly Algorithm: Theory and Applications, volume 516 of Studies in Computational Intelligence – volume: 127 start-page: 596 year: 1986 end-page: 603 ident: bib0150 article-title: Flower constancy: definition, cause and measurement publication-title: Am. Nat. – volume: 4 start-page: 1 year: 2012 end-page: 5 ident: bib0190 article-title: Two-stage eagle strategy with differential evolution publication-title: Int. J. Bio-Inspired Comput. – volume: 744 start-page: 53 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0350 article-title: Global convergence analysis of cuckoo search using Markov theory – volume: 226 start-page: 1830 year: 2007 ident: 10.1016/j.jocs.2020.101104_bib0130 article-title: Lévy flights, non-local search and simulated annealing publication-title: J. Comput. Phys. doi: 10.1016/j.jcp.2007.06.008 – volume: 13 start-page: 34 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0075 article-title: A comprehensive review of firefly algorithms publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2013.06.001 – volume: 1 start-page: 19 year: 2011 ident: 10.1016/j.jocs.2020.101104_bib0375 article-title: Parameter tuning for configuring and analyzing evolutionary algorithms publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.02.001 – volume: 17 start-page: 4831 year: 2012 ident: 10.1016/j.jocs.2020.101104_bib0185 article-title: Krill herd: a new bio-inspired optimization algorithm publication-title: Comput. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2012.05.010 – volume: 10 start-page: 646 year: 2006 ident: 10.1016/j.jocs.2020.101104_bib0380 article-title: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark functions publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2006.872133 – volume: 22 start-page: 4251 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0220 article-title: Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks publication-title: Soft Comput. doi: 10.1007/s00500-017-2819-9 – volume: 48 start-page: 59 year: 2016 ident: 10.1016/j.jocs.2020.101104_bib0270 article-title: An improved discrete bat algorithm for symmetric and assymmetric travelling salesman problems publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2015.10.006 – start-page: 210 year: 2009 ident: 10.1016/j.jocs.2020.101104_bib0040 article-title: Cuckoo search via Lévy flights – volume: 10 start-page: 159 year: 2010 ident: 10.1016/j.jocs.2020.101104_bib0345 article-title: Convergence analysis of metaheuristic publication-title: Anal. Inf. Syst. – volume: 52 start-page: 2533 year: 2019 ident: 10.1016/j.jocs.2020.101104_bib0090 article-title: Flower pollination algorithm: a comprehensive review publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-018-9624-4 – year: 2008 ident: 10.1016/j.jocs.2020.101104_bib0430 – volume: 69 start-page: 159 year: 2017 ident: 10.1016/j.jocs.2020.101104_bib0250 article-title: New directional bat algorithm for continuous optimization problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2016.10.050 – volume: 25 start-page: 268 year: 2003 ident: 10.1016/j.jocs.2020.101104_bib0275 article-title: Metaheuristics in combinatorial optimization: overview and conceptual comparison publication-title: ACM Comput. Surv. doi: 10.1145/937503.937505 – volume: 24 start-page: 169 year: 2014 ident: 10.1016/j.jocs.2020.101104_bib0125 article-title: Cuckoo search: recent advances and applications publication-title: Neural Comput. Appl. doi: 10.1007/s00521-013-1367-1 – volume: 213 start-page: 267 year: 2010 ident: 10.1016/j.jocs.2020.101104_bib0175 article-title: A novel heuristic optimization method: charged system search publication-title: Acta Mech. doi: 10.1007/s00707-009-0270-4 – volume: 2 start-page: 287 year: 2006 ident: 10.1016/j.jocs.2020.101104_bib0065 article-title: Multi-objective particle swarm optimizers: a survey of the state-of-the-art publication-title: Int. J. Comput. Intell. Res. – year: 2008 ident: 10.1016/j.jocs.2020.101104_bib0105 – volume: 11 start-page: 341 year: 1997 ident: 10.1016/j.jocs.2020.101104_bib0100 article-title: Differential evolution: a simple and efficient heuristic for global optimization publication-title: J. Global Optim. doi: 10.1023/A:1008202821328 – year: 2003 ident: 10.1016/j.jocs.2020.101104_bib0360 – start-page: 91 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0085 article-title: Variants of the flower pollination algorithm: a review – year: 1992 ident: 10.1016/j.jocs.2020.101104_bib0020 – volume: 36 start-page: 285 year: 2008 ident: 10.1016/j.jocs.2020.101104_bib0355 article-title: Adaptive search with stochastic acceptance probability for global optimization publication-title: Oper. Res. Lett. doi: 10.1016/j.orl.2007.10.005 – year: 1996 ident: 10.1016/j.jocs.2020.101104_bib0325 – volume: 4 start-page: 2506 year: 2003 ident: 10.1016/j.jocs.2020.101104_bib0410 article-title: Some multiobjective optimizers are better than others publication-title: Evol. Comput. – volume: 1 start-page: 67 year: 1997 ident: 10.1016/j.jocs.2020.101104_bib0395 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585893 – volume: 6 start-page: 182 year: 2002 ident: 10.1016/j.jocs.2020.101104_bib0230 article-title: A fast and elitist multiobjective algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0060 – volume: 25 start-page: 655 year: 1995 ident: 10.1016/j.jocs.2020.101104_bib0330 article-title: A Markov chain analysis on simple genetic algorithms publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/21.370197 – year: 2004 ident: 10.1016/j.jocs.2020.101104_bib0005 – year: 2005 ident: 10.1016/j.jocs.2020.101104_bib0050 – volume: 23 start-page: 195 year: 2017 ident: 10.1016/j.jocs.2020.101104_bib0205 article-title: Usability feature selection via MBBAT: a novel approach publication-title: J. Comput. Sci. doi: 10.1016/j.jocs.2017.06.005 – year: 2001 ident: 10.1016/j.jocs.2020.101104_bib0300 article-title: Lévy flights as an underlying mechanism for global optimization algorithms publication-title: ArXiv Math. Phys. E-Prints – volume: 5 start-page: 224 year: 2014 ident: 10.1016/j.jocs.2020.101104_bib0245 article-title: Chaotic bat algorithm publication-title: J. Comput. Sci. doi: 10.1016/j.jocs.2013.10.002 – volume: 21 start-page: 5295 year: 2017 ident: 10.1016/j.jocs.2020.101104_bib0210 article-title: A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy publication-title: Soft Comput. doi: 10.1007/s00500-016-2114-1 – year: 2003 ident: 10.1016/j.jocs.2020.101104_bib0315 – volume: 32 start-page: 319 year: 2008 ident: 10.1016/j.jocs.2020.101104_bib0225 article-title: Solving engineering optimization problems with the simple constrained particle swarm optimizer publication-title: Informatica – volume: 24 start-page: 1659 year: 2014 ident: 10.1016/j.jocs.2020.101104_bib0265 article-title: Discrete cuckoo search algorithm for the travelling salesman problem publication-title: Neural Comput. Appl. doi: 10.1007/s00521-013-1402-2 – volume: 222 start-page: 175 year: 2012 ident: 10.1016/j.jocs.2020.101104_bib0180 article-title: Black hole: a new heuristic optimization approach for data clustering publication-title: Inf. Sci. doi: 10.1016/j.ins.2012.08.023 – volume: 179 start-page: 2232 year: 2009 ident: 10.1016/j.jocs.2020.101104_bib0170 article-title: GSA: a gravitational search algorithm publication-title: Inf. Sci. doi: 10.1016/j.ins.2009.03.004 – volume: 40 start-page: 1616 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0240 article-title: Multiobjective cuckoo search for design optimization publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2011.09.026 – year: 2005 ident: 10.1016/j.jocs.2020.101104_bib0070 – volume: 31 start-page: 33 year: 2019 ident: 10.1016/j.jocs.2020.101104_bib0195 article-title: Local ant system for allocating robot swarms to time-constrained tasks publication-title: J. Comput. Sci. doi: 10.1016/j.jocs.2018.12.012 – year: 1997 ident: 10.1016/j.jocs.2020.101104_bib0290 – year: 2000 ident: 10.1016/j.jocs.2020.101104_bib0115 – volume: 96 start-page: 195 year: 1996 ident: 10.1016/j.jocs.2020.101104_bib0335 article-title: A Markov chain analysis of genetic algorithms with power of 2 cardinality alphabets publication-title: Eur. J. Oper. Res. doi: 10.1016/S0377-2217(96)00121-X – volume: 4 start-page: 1 year: 2012 ident: 10.1016/j.jocs.2020.101104_bib0190 article-title: Two-stage eagle strategy with differential evolution publication-title: Int. J. Bio-Inspired Comput. doi: 10.1504/IJBIC.2012.044932 – year: 2002 ident: 10.1016/j.jocs.2020.101104_bib0295 – volume: 30 start-page: 269 year: 2000 ident: 10.1016/j.jocs.2020.101104_bib0340 article-title: Convergence criteria for genetic algorithm publication-title: SIAM J. Comput. doi: 10.1137/S009753979732565X – year: 1975 ident: 10.1016/j.jocs.2020.101104_bib0015 – year: 1996 ident: 10.1016/j.jocs.2020.101104_bib0110 – volume: 12 start-page: 702 year: 2008 ident: 10.1016/j.jocs.2020.101104_bib0165 article-title: Biogeography-based optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2008.919004 – year: 1999 ident: 10.1016/j.jocs.2020.101104_bib0365 – volume: 44 start-page: 273 year: 2019 ident: 10.1016/j.jocs.2020.101104_bib0215 article-title: A discrete and improved bat algorithm for solving a medical goods distribution problem with pharmacological waste collection publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2018.04.001 – volume: 306 start-page: 17 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0260 article-title: Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.03.038 – volume: 60 start-page: 328 year: 2017 ident: 10.1016/j.jocs.2020.101104_bib0255 article-title: Quaternion-based deep belief networks fine-tuning publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.06.046 – start-page: 65 year: 2010 ident: 10.1016/j.jocs.2020.101104_bib0030 article-title: A new metaheuristic bat-inspired algorithm – volume: 29 start-page: 464 year: 2012 ident: 10.1016/j.jocs.2020.101104_bib0235 article-title: Bat algorithm: a novel approach for global engineering optimization publication-title: Eng. Comput. doi: 10.1108/02644401211235834 – year: 2001 ident: 10.1016/j.jocs.2020.101104_bib0320 – year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0055 – year: 2001 ident: 10.1016/j.jocs.2020.101104_bib0045 – start-page: 27 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0400 article-title: A review of no free lunch theorems, and their implications for metaheuristic optimisation – volume: 49 start-page: 4677 year: 1994 ident: 10.1016/j.jocs.2020.101104_bib0135 article-title: Fast, accurate algorithm for numerical simulation of Lévy stable stochastic process publication-title: Phys. Rev. E doi: 10.1103/PhysRevE.49.4677 – volume: 114 start-page: 173 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0310 article-title: Global convergence analysis of the bat algorithm using a Markovian framework and dynamic system theory publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.07.036 – volume: 22 start-page: 52 year: 2002 ident: 10.1016/j.jocs.2020.101104_bib0160 article-title: Biomimicry of bacterial foraging for distributed optimization and control publication-title: IEEE Control Syst. doi: 10.1109/MCS.2002.1004010 – volume: 1 start-page: 164 year: 2011 ident: 10.1016/j.jocs.2020.101104_bib0280 article-title: Clustering using firefly algorithm: performance study publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.06.003 – year: 1989 ident: 10.1016/j.jocs.2020.101104_bib0095 – start-page: 240 year: 2012 ident: 10.1016/j.jocs.2020.101104_bib0140 article-title: Flower pollination algorithm for global optimization – volume: 4 start-page: 150 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0390 article-title: A literature survey of benchmark functions for global optimisation problems publication-title: Int. J. Math. Modell. Numer. Optim. – year: 2009 ident: 10.1016/j.jocs.2020.101104_bib0425 – volume: 284 start-page: 1 year: 2011 ident: 10.1016/j.jocs.2020.101104_bib0120 article-title: Cuckoo adaptations: trickery and tuning publication-title: J. Zool. doi: 10.1111/j.1469-7998.2011.00810.x – volume: 127 start-page: 596 year: 1986 ident: 10.1016/j.jocs.2020.101104_bib0150 article-title: Flower constancy: definition, cause and measurement publication-title: Am. Nat. doi: 10.1086/284507 – volume: 220 start-page: 671 year: 1983 ident: 10.1016/j.jocs.2020.101104_bib0155 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 23 start-page: 2051 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0385 article-title: A framework for self-tuning optimization algorithm publication-title: Neural Comput. Appl. doi: 10.1007/s00521-013-1498-4 – volume: 5 start-page: 141 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0080 article-title: Bat algorithm: literature review and applications publication-title: Int. J. Bio-Inspired Comput. doi: 10.1504/IJBIC.2013.055093 – volume: 6 start-page: 58 year: 2002 ident: 10.1016/j.jocs.2020.101104_bib0305 article-title: The particle swarm: explosion, stability, and convergence in a multidimensional complex space publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.985692 – year: 2014 ident: 10.1016/j.jocs.2020.101104_bib0010 – volume: 26 start-page: 400 year: 1983 ident: 10.1016/j.jocs.2020.101104_bib0420 article-title: An overview of computational complexity publication-title: Commun. ACM doi: 10.1145/358141.358144 – volume: 9 start-page: 721 year: 2005 ident: 10.1016/j.jocs.2020.101104_bib0415 article-title: Coevolutionary free lunches publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2005.856205 – start-page: 1942 year: 1995 ident: 10.1016/j.jocs.2020.101104_bib0025 article-title: Particle swarm optimization – volume: 25 start-page: 28 year: 2018 ident: 10.1016/j.jocs.2020.101104_bib0200 article-title: A hybrid of ant colony and firefly algorithms (HAFA) for solving vehicle routing problems publication-title: J. Comput. Sci. doi: 10.1016/j.jocs.2017.12.012 – volume: 18 start-page: 861 year: 2013 ident: 10.1016/j.jocs.2020.101104_bib0145 article-title: Multi-objective flower algorithm for optimization publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2013.05.251 – volume: 57 start-page: 121 year: 2010 ident: 10.1016/j.jocs.2020.101104_bib0405 article-title: Continuous lunches are free plus the design of optimal optimization algorithms publication-title: Algorithmica doi: 10.1007/s00453-008-9244-5 – year: 2009 ident: 10.1016/j.jocs.2020.101104_bib0370 – year: 2019 ident: 10.1016/j.jocs.2020.101104_bib0285 – start-page: 169 year: 2009 ident: 10.1016/j.jocs.2020.101104_bib0035 article-title: Firefly algorithms for multimodal optimization
SSID	ssj0000388913
Score	2.6368313
Snippet	•An in-depth review of nature-inspired algorithms for optimization.•Analyze different algorithms from different perspectives.•Highlight challenging issues and...
SourceID	crossref elsevier
SourceType	Enrichment Source Index Database Publisher
StartPage	101104
SubjectTerms	Algorithm Bat algorithm Convergence Cuckoo search Differential evolution Firefly algorithm Flower pollination algorithm Metaheuristic Nature-inspired computation Optimization Particle swarm optimization Stability Swarm intelligence
Title	Nature-inspired optimization algorithms: Challenges and open problems
URI	https://dx.doi.org/10.1016/j.jocs.2020.101104
Volume	46
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1877-7511 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388913 issn: 1877-7503 databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Complete Freedom Collection [SCCMFC] customDbUrl: eissn: 1877-7511 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388913 issn: 1877-7503 databaseCode: ACRLP dateStart: 20100501 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals [SCFCJ] customDbUrl: eissn: 1877-7511 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388913 issn: 1877-7503 databaseCode: AIKHN dateStart: 20100501 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect (Elsevier) customDbUrl: eissn: 1877-7511 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388913 issn: 1877-7503 databaseCode: .~1 dateStart: 20100501 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1877-7511 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000388913 issn: 1877-7503 databaseCode: AKRWK dateStart: 20100501 isFulltext: true providerName: Library Specific Holdings
link	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3PS8MwFA5jgngRNxXnj9GDB0Xq2jRNWm9jbEzFXXSwW0nSRDe2dqz16t9uX5sORdjBY8N7UD6SLy_ty_chdC1DHce0WGmhg5VNtHJsrp3Q5koI38MxDwQcFF8mdDwlTzN_1kCD-i4MtFUa7q84vWRrM9IzaPbW83nv1QUpOx8MwD0o9EETlBAGLgb3X-72OwuonYSlSzLE25Bg7s5UbV6LVIJqNy4HXOPX9md_-rHnjI7QoSkWrX71Pi3UUEkb7de96m3UMiszs26MfPTtMRpOSq1Oe57AT3QVW2nBCitz3dLiy_d0M88_VtmDNaiNVDKLJxCnEssYzGQnaDoavg3GtjFLsKVHaW5rJRnhgmlGFQ44x0ri4qhGpKN0gIUrONbMxbGIpRto7JA49EM_oBRzR4iAe6eomaSJOkMWYQGHWEaJS7CWQcgwYZwWlWFYECTvILeGKJJGSRwMLZZR3TK2iADWCGCNKlg76G6bs650NHZG-zXy0a_ZEBVEvyPv_J95F-gAnqomvUvUzDef6qooNnLRLWdTF-31H5_Hk28OxtJU
linkProvider	Elsevier
linkToHtml	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV09T8MwED2VIgELogVE-czAAEKhievYCRuqqAqULoDEFtmODakgrZqy8tvJJQ4CITGwOndSdLKf75K79wCOVWSShBUnLfKIdqnRniuMF7lCSxn0SCJCiYXi3ZgNH-nNU_DUgH49C4NtlRb7K0wv0dqudG00u7M07d77SGUXoAB4DxN9ugTLNCAcK7DzD__rQwvSnUSlTDI6uOhhh2eqPq_JVCFtNykXfCvY9uuC-nbpDDZg3WaLzmX1Qi1o6KwNK3Wzehta9mjmzonljz7dhKtxSdbpphn-RdeJMy1g4c3OWzri9Xk6Txcvb_mF06-VVHJHZGinM8cqzORb8Di4eugPXauW4KoeYwvXaMWpkNxwpkkoBNGKFLUaVZ42IZG-FMRwnyQyUX5oiEeTKIiCkDEiPClD0duGZjbN9A44lIcCbTmjPiVGhREnlAtWpIZRgZCiA34dolhZKnFUtHiN656xSYxhjTGscRXWDpx9-cwqIo0_rYM68vGP7RAXSP-H3-4__Y5gdfhwN4pH1-PbPVjDJ1XH3j40F_N3fVBkHgt5WO6sTxpo0-k
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Nature-inspired+optimization+algorithms%3A+Challenges+and+open+problems&rft.jtitle=Journal+of+computational+science&rft.au=Yang%2C+Xin-She&rft.date=2020-10-01&rft.issn=1877-7503&rft.volume=46&rft.spage=101104&rft_id=info:doi/10.1016%2Fj.jocs.2020.101104&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_jocs_2020_101104
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1877-7503&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1877-7503&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1877-7503&client=summon