new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems
This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies and/or correlations between decision variables in monitoring design applications to provide more robust performance for large problems (defined...
Saved in:
| Published in | Advances in water resources Vol. 31; no. 5; pp. 828 - 845 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Science
01.05.2008
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0309-1708 |
| DOI | 10.1016/j.advwatres.2008.01.017 |
Cover
| Abstract | This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies and/or correlations between decision variables in monitoring design applications to provide more robust performance for large problems (defined in terms of both the number of objectives and decision variables). The proposed MOEA is termed the epsilon-dominance hierarchical Bayesian optimization algorithm ( epsilon -hBOA), which is representative of a new class of probabilistic model building evolutionary algorithms. The epsilon -hBOA has been tested relative to a top-performing traditional MOEA, the epsilon-dominance nondominated sorted genetic algorithm II ( epsilon -NSGAII) for solving a four-objective LTM design problem. A comprehensive performance assessment of the epsilon -NSGAII and various configurations of the epsilon -hBOA have been performed for both a 25 well LTM design test case (representing a relatively small problem with over 33million possible designs), and a 58 point LTM design test case (with over 2.88x10 super(1) super(7) possible designs). The results from this comparison indicate that the model building capability of the epsilon -hBOA greatly enhances its performance relative to the epsilon -NSGAII, especially for large monitoring design problems. This work also indicates that decision variable interdependencies appear to have a significant impact on the overall mathematical difficulty of the monitoring network design problem. |
|---|---|
| AbstractList | This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies and/or correlations between decision variables in monitoring design applications to provide more robust performance for large problems (defined in terms of both the number of objectives and decision variables). The proposed MOEA is termed the epsilon-dominance hierarchical Bayesian optimization algorithm ( epsilon -hBOA), which is representative of a new class of probabilistic model building evolutionary algorithms. The epsilon -hBOA has been tested relative to a top-performing traditional MOEA, the epsilon-dominance nondominated sorted genetic algorithm II ( epsilon -NSGAII) for solving a four-objective LTM design problem. A comprehensive performance assessment of the epsilon -NSGAII and various configurations of the epsilon -hBOA have been performed for both a 25 well LTM design test case (representing a relatively small problem with over 33million possible designs), and a 58 point LTM design test case (with over 2.88x10 super(1) super(7) possible designs). The results from this comparison indicate that the model building capability of the epsilon -hBOA greatly enhances its performance relative to the epsilon -NSGAII, especially for large monitoring design problems. This work also indicates that decision variable interdependencies appear to have a significant impact on the overall mathematical difficulty of the monitoring network design problem. |
| Author | Kasprzyk, J.R Reed, P.M Kollat, J.B |
| Author_xml | – sequence: 1 fullname: Kollat, J.B – sequence: 2 fullname: Reed, P.M – sequence: 3 fullname: Kasprzyk, J.R |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20301633$$DView record in Pascal Francis |
| BookMark | eNqFkT9vFDEQxbcIEkngM8QNdHv4z-7aLiggIgQpEgWktmZ9s3s-vPZh-3IKBZ89DhcoaCKNZFnzezOj986akxADNs0FoytG2fBuu4L13QFKwrzilKoVZbXkSXNKBdUtk1S9bM5y3tLa7CQ_bX4HPBDcZedjaNdxcQGCRbJxmCDZjbPgyUe4x-wgkLgrbnG_oLgYCPg5Jlc2C5liIh7SjGTZ-9obt2iLu6vfGFypUJhJwHKI6QdZ10lzILsUR49LftW8mMBnfP30nje3V5--X163N18_f7n8cNOC0ENphzWn_SCxZ7qjctR2UIJLOkJvgSsYhOIotB7V1EnNEPjIJ1Bc8UkqhX0nzpu3x7l18c895mIWly16DwHjPptu6DuuhXoW5HSoGB8q-OYJhFxNmlL1zWWzS26BdF85UQMRonLvj5xNMeeEk7Gu_HGwJHDeMGoeozNb8y868xidoayWrHr5n_7viueVF0flBNHAnOp1t984ZYJSTYXuuHgAQiCzHA |
| CODEN | AWREDI |
| CitedBy_id | crossref_primary_10_1016_j_envsoft_2012_12_007 crossref_primary_10_1029_2011WR011652 crossref_primary_10_1002_2013WR014058 crossref_primary_10_1016_j_envsoft_2011_04_003 crossref_primary_10_1016_j_jhydrol_2018_04_037 crossref_primary_10_2166_hydro_2020_061 crossref_primary_10_1007_s10732_021_09469_x crossref_primary_10_1016_j_advwatres_2012_01_005 crossref_primary_10_1007_s00453_018_0507_5 crossref_primary_10_1061__ASCE_WR_1943_5452_0000492 crossref_primary_10_1007_s11269_012_9988_1 crossref_primary_10_1061__ASCE_WR_1943_5452_0000053 crossref_primary_10_1061__ASCE_WR_1943_5452_0000649 crossref_primary_10_3390_w12020461 crossref_primary_10_1007_s10040_015_1292_8 crossref_primary_10_1029_2009WR008121 crossref_primary_10_1016_j_jhydrol_2015_08_048 crossref_primary_10_1007_s10040_015_1272_z crossref_primary_10_1029_2010WR009194 crossref_primary_10_2166_hydro_2017_083 crossref_primary_10_1007_s11004_013_9453_6 crossref_primary_10_1029_2019EF001464 crossref_primary_10_1061__ASCE_HE_1943_5584_0000952 crossref_primary_10_1109_TEVC_2020_3047835 crossref_primary_10_1007_s11047_022_09913_2 crossref_primary_10_1016_j_advwatres_2013_01_011 crossref_primary_10_1016_j_envsoft_2014_08_030 crossref_primary_10_1002_2015WR017756 crossref_primary_10_1016_j_jhydrol_2019_124498 crossref_primary_10_1111_gwat_12430 crossref_primary_10_1016_j_ecoser_2020_101144 crossref_primary_10_5194_hess_21_3071_2017 crossref_primary_10_1016_j_swevo_2011_08_003 crossref_primary_10_1029_2011WR011016 crossref_primary_10_1016_j_ijggc_2024_104157 crossref_primary_10_1016_j_watres_2024_121314 crossref_primary_10_3390_w12010123 crossref_primary_10_1016_j_ejor_2016_06_066 crossref_primary_10_1002_2014WR016795 crossref_primary_10_1061__ASCE_HE_1943_5584_0001350 crossref_primary_10_1007_s00158_016_1499_x crossref_primary_10_1111_gwat_13373 crossref_primary_10_1515_cmam_2018_0022 crossref_primary_10_1680_jwama_22_00002 crossref_primary_10_1016_j_envsoft_2014_09_013 crossref_primary_10_1007_s11269_013_0451_8 crossref_primary_10_3389_feart_2023_1188316 crossref_primary_10_1061__ASCE_HE_1943_5584_0001508 crossref_primary_10_1088_1748_9326_10_12_125008 crossref_primary_10_1007_s10661_012_2971_8 crossref_primary_10_1016_j_advwatres_2016_07_006 crossref_primary_10_1109_TGRS_2014_2388451 crossref_primary_10_1016_j_jhydrol_2020_125876 crossref_primary_10_1016_j_jhydrol_2016_06_030 crossref_primary_10_2166_nh_2016_344 crossref_primary_10_1016_j_envsoft_2011_06_004 crossref_primary_10_5194_hess_18_3259_2014 crossref_primary_10_1007_s11047_021_09849_z crossref_primary_10_1111_1752_1688_12611 crossref_primary_10_1016_j_advwatres_2011_10_011 crossref_primary_10_1007_s10732_017_9356_7 crossref_primary_10_1007_s10661_019_7467_3 crossref_primary_10_1002_2016WR019981 crossref_primary_10_1029_2018WR023133 crossref_primary_10_1061__ASCE_EE_1943_7870_0001155 crossref_primary_10_1016_j_jhydrol_2015_11_003 crossref_primary_10_4236_jwarp_2016_81005 crossref_primary_10_1016_j_swevo_2021_100932 crossref_primary_10_1080_15275922_2013_873095 crossref_primary_10_1002_2017WR020385 crossref_primary_10_1007_s11269_016_1274_1 crossref_primary_10_1016_j_ejor_2011_01_030 crossref_primary_10_5194_hess_25_831_2021 crossref_primary_10_3233_JIFS_181710 crossref_primary_10_2166_hydro_2015_062 crossref_primary_10_1016_j_jhydrol_2016_01_009 crossref_primary_10_1016_j_rser_2020_109910 |
| Cites_doi | 10.2166/hydro.2001.0009 10.1201/9781420034349 10.1029/94WR00872 10.1029/2000WR900232 10.5194/hess-10-289-2006 10.1111/j.1745-6584.2004.tb02667.x 10.1029/94WR02039 10.1061/(ASCE)0733-9496(2004)130:1(33) 10.1109/4235.996017 10.1016/j.advwatres.2006.05.009 10.1029/2000WR900231 10.1016/B978-1-55860-332-5.50042-0 10.1162/106365602760234108 10.1007/s100400050139 10.1061/(ASCE)0733-9496(2004)130:2(140) 10.1109/4235.728207 10.1016/j.advwatres.2005.07.010 10.1023/B:EMAS.0000016795.91968.13 10.1029/WR025i002p00215 10.1016/j.advwatres.2006.06.006 10.1029/WR021i002p00199 10.1016/j.envsoft.2005.12.021 10.1029/97WR01704 10.1029/WR025i010p02245 10.1029/WR025i011p02331 10.1029/95WR02107 10.1029/WR015i006p01692 10.1007/978-3-540-32373-0_6 10.1016/j.jconhyd.2004.11.006 10.1214/aos/1176344136 10.1029/90WR02657 10.1162/106365602760972767 10.1109/TEVC.2003.810758 10.1029/94WR01972 10.1029/2005WR004303 10.1007/3-540-36970-8_16 |
| ContentType | Journal Article |
| Copyright | 2008 INIST-CNRS |
| Copyright_xml | – notice: 2008 INIST-CNRS |
| DBID | FBQ AAYXX CITATION IQODW 7QH 7UA C1K F1W H96 L.G 7S9 L.6 |
| DOI | 10.1016/j.advwatres.2008.01.017 |
| DatabaseName | AGRIS CrossRef Pascal-Francis Aqualine Water Resources Abstracts Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Aquatic Science & Fisheries Abstracts (ASFA) Professional AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Aqualine ASFA: Aquatic Sciences and Fisheries Abstracts Water Resources Abstracts Environmental Sciences and Pollution Management AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | Aquatic Science & Fisheries Abstracts (ASFA) Professional |
| Database_xml | – sequence: 1 dbid: FBQ name: AGRIS url: http://www.fao.org/agris/Centre.asp?Menu_1ID=DB&Menu_2ID=DB1&Language=EN&Content=http://www.fao.org/agris/search?Language=EN sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EndPage | 845 |
| ExternalDocumentID | 20301633 10_1016_j_advwatres_2008_01_017 US201300903942 |
| GroupedDBID | --K --M -~X .~1 0R~ 1B1 1RT 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 8WZ 9JN A6W AACTN AAEDT AAEDW AAHBH AAIKJ AAKOC AALCJ AALRI AAOAW AAQFI AAQXK AATLK AATTM AAXKI AAXUO ABEFU ABFNM ABGRD ABJNI ABMAC ABQEM ABQYD ABWVN ABXDB ACDAQ ACGFS ACIWK ACLVX ACPRK ACRLP ACRPL ACSBN ADBBV ADEZE ADMUD ADNMO ADQTV AEBSH AEIPS AEKER AENEX AFJKZ AFRAH AFTJW AFXIZ AGHFR AGUBO AGYEJ AHHHB AIEXJ AIKHN AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ASPBG ATOGT AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 EBS EFJIC EJD EO8 EO9 EP2 EP3 F5P FBQ FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HMA HVGLF HZ~ IHE IMUCA J1W KOM LY3 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SDP SEP SES SEW SPC SPCBC SSA SSE SSH SSZ T5K TN5 WUQ XPP ZMT ~02 ~G- ~KM AAYWO AAYXX ACLOT ACVFH ADCNI AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP APXCP CITATION EFKBS EFLBG ~HD AGCQF AGRNS IQODW 7QH 7UA C1K F1W H96 L.G 7S9 L.6 |
| ID | FETCH-LOGICAL-a396t-6d20567e519407b9c683270ba5ca28a6382e399b8f4791ea2b2fa8282f788e543 |
| ISSN | 0309-1708 |
| IngestDate | Thu Oct 02 11:06:34 EDT 2025 Tue Oct 07 09:39:16 EDT 2025 Mon Jul 21 09:15:17 EDT 2025 Thu Apr 24 23:07:09 EDT 2025 Wed Oct 01 02:07:12 EDT 2025 Thu Apr 03 09:45:37 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Keywords | algorithms models plumes ground water Probabilistic models Evolutionary algorithms pollution networks tetrachloroethylene underground storage water resources Long-term groundwater monitoring aquifers correlation optimization Multiobjective optimization tanks Bayesian networks performances |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 CC BY 4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-a396t-6d20567e519407b9c683270ba5ca28a6382e399b8f4791ea2b2fa8282f788e543 |
| Notes | http://dx.doi.org/10.1016/j.advwatres.2008.01.017 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 20693826 |
| PQPubID | 23462 |
| PageCount | 18 |
| ParticipantIDs | proquest_miscellaneous_46542938 proquest_miscellaneous_20693826 pascalfrancis_primary_20301633 crossref_citationtrail_10_1016_j_advwatres_2008_01_017 crossref_primary_10_1016_j_advwatres_2008_01_017 fao_agris_US201300903942 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2008-05-01 |
| PublicationDateYYYYMMDD | 2008-05-01 |
| PublicationDate_xml | – month: 05 year: 2008 text: 2008-05-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | Advances in water resources |
| PublicationYear | 2008 |
| Publisher | Elsevier Science |
| Publisher_xml | – name: Elsevier Science |
| References | Bogardi (10.1016/j.advwatres.2008.01.017_bib16) 1985; 21 10.1016/j.advwatres.2008.01.017_bib29 10.1016/j.advwatres.2008.01.017_bib28 Maxwell (10.1016/j.advwatres.2008.01.017_bib31) 2007 10.1016/j.advwatres.2008.01.017_bib27 10.1016/j.advwatres.2008.01.017_bib26 10.1016/j.advwatres.2008.01.017_bib64 Pelikan (10.1016/j.advwatres.2008.01.017_bib62) 2006; vol. 4193 Yan (10.1016/j.advwatres.2008.01.017_bib5) 2006; 42 Pelikan (10.1016/j.advwatres.2008.01.017_bib58) 2005 Pelikan (10.1016/j.advwatres.2008.01.017_bib55) 1999 Graham (10.1016/j.advwatres.2008.01.017_bib35) 1989; 25 Storck (10.1016/j.advwatres.2008.01.017_bib22) 1997; 33 Harik (10.1016/j.advwatres.2008.01.017_bib63) 1997 Zitzler (10.1016/j.advwatres.2008.01.017_bib66) 1998 10.1016/j.advwatres.2008.01.017_bib14 Nunes (10.1016/j.advwatres.2008.01.017_bib23) 2003; 130 Reed (10.1016/j.advwatres.2008.01.017_bib7) 2004; 130 10.1016/j.advwatres.2008.01.017_bib11 10.1016/j.advwatres.2008.01.017_bib54 Nunes (10.1016/j.advwatres.2008.01.017_bib24) 2004; 93 10.1016/j.advwatres.2008.01.017_bib52 Fogg (10.1016/j.advwatres.2008.01.017_bib33) 2000; 348 Zitzler (10.1016/j.advwatres.2008.01.017_bib67) 2007; Vol. 4403 Pelikan (10.1016/j.advwatres.2008.01.017_bib59) 2006 Knowles (10.1016/j.advwatres.2008.01.017_bib68) 2005; vol. 214 Conover (10.1016/j.advwatres.2008.01.017_bib72) 1999 Deb (10.1016/j.advwatres.2008.01.017_bib73) 2002; 10 Meyer (10.1016/j.advwatres.2008.01.017_bib18) 1994; 30 Cieniawski (10.1016/j.advwatres.2008.01.017_bib21) 1995; 31 Zitzler (10.1016/j.advwatres.2008.01.017_bib65) 2003; 7 Graham (10.1016/j.advwatres.2008.01.017_bib34) 1989; 25 (10.1016/j.advwatres.2008.01.017_bib1) 2003 Reed (10.1016/j.advwatres.2008.01.017_bib8) 2007; 22 10.1016/j.advwatres.2008.01.017_bib49 Schwarz (10.1016/j.advwatres.2008.01.017_bib56) 1978; 6 Reed (10.1016/j.advwatres.2008.01.017_bib70) 2000; 36 Fogg (10.1016/j.advwatres.2008.01.017_bib32) 1998; 6 Tang (10.1016/j.advwatres.2008.01.017_bib42) 2007; 30 10.1016/j.advwatres.2008.01.017_bib47 10.1016/j.advwatres.2008.01.017_bib46 Reed (10.1016/j.advwatres.2008.01.017_bib25) 2001; 3 Goovaerts (10.1016/j.advwatres.2008.01.017_bib37) 1997 Knopman (10.1016/j.advwatres.2008.01.017_bib15) 1989; 25 10.1016/j.advwatres.2008.01.017_bib43 Salomon (10.1016/j.advwatres.2008.01.017_bib12) 1998; 2 Sun (10.1016/j.advwatres.2008.01.017_bib20) 1994; vol. 6 Wu (10.1016/j.advwatres.2008.01.017_bib6) 2005; 77 Simon (10.1016/j.advwatres.2008.01.017_bib57) 1968 Tang (10.1016/j.advwatres.2008.01.017_bib44) 2006; 10 Wagner (10.1016/j.advwatres.2008.01.017_bib3) 1995; 31 Journel (10.1016/j.advwatres.2008.01.017_bib39) 1997 Knopman (10.1016/j.advwatres.2008.01.017_bib17) 1991; 27 Thierens (10.1016/j.advwatres.2008.01.017_bib69) 1998 Kollat (10.1016/j.advwatres.2008.01.017_bib9) 2006; 29 Reed (10.1016/j.advwatres.2008.01.017_bib4) 2000; 36 Pelikan (10.1016/j.advwatres.2008.01.017_bib61) 2003; vol. 2724 Goldberg (10.1016/j.advwatres.2008.01.017_bib13) 1989 Coello (10.1016/j.advwatres.2008.01.017_bib40) 2002 Pelikan (10.1016/j.advwatres.2008.01.017_bib60) 2006; vol. 4193 Deutsch (10.1016/j.advwatres.2008.01.017_bib36) 1998 McKay (10.1016/j.advwatres.2008.01.017_bib53) 2004; 7 Pelikan (10.1016/j.advwatres.2008.01.017_bib51) 2005 James (10.1016/j.advwatres.2008.01.017_bib19) 1994; 30 10.1016/j.advwatres.2008.01.017_bib71 Kollat (10.1016/j.advwatres.2008.01.017_bib30) 2007; 30 Reed (10.1016/j.advwatres.2008.01.017_bib38) 2004; 42 Deb (10.1016/j.advwatres.2008.01.017_bib10) 2001 Deb (10.1016/j.advwatres.2008.01.017_bib45) 2002; 6 Goldberg (10.1016/j.advwatres.2008.01.017_bib50) 2002 Lettenmaier (10.1016/j.advwatres.2008.01.017_bib2) 1979; 13 Kollat (10.1016/j.advwatres.2008.01.017_bib41) 2005; vol. 3410 Laumanns (10.1016/j.advwatres.2008.01.017_bib48) 2002; 10 |
| References_xml | – volume: vol. 2724 start-page: 1271 year: 2003 ident: 10.1016/j.advwatres.2008.01.017_bib61 article-title: Hierarchical boa solves Ising spin glasses and MAXSAT – volume: 3 start-page: 71 issue: 2 year: 2001 ident: 10.1016/j.advwatres.2008.01.017_bib25 article-title: A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data publication-title: J Hydroinform doi: 10.2166/hydro.2001.0009 – start-page: 7 year: 1997 ident: 10.1016/j.advwatres.2008.01.017_bib63 article-title: The gambler’s ruin problem, genetic algorithms, and the sizing of populations – year: 2005 ident: 10.1016/j.advwatres.2008.01.017_bib58 article-title: Multiobjective hBOA, clustering, and scalability – volume: 348 start-page: 25 year: 2000 ident: 10.1016/j.advwatres.2008.01.017_bib33 article-title: Connected-network paradigm for the alluvial aquifer system, in theory, modeling, and field investigation in hydrogeology publication-title: Geol Soc Am – ident: 10.1016/j.advwatres.2008.01.017_bib11 doi: 10.1201/9781420034349 – volume: 30 start-page: 2647 issue: 9 year: 1994 ident: 10.1016/j.advwatres.2008.01.017_bib18 article-title: Monitoring network design to provide initial detection of groundwater contamination publication-title: Water Resour Res doi: 10.1029/94WR00872 – year: 2002 ident: 10.1016/j.advwatres.2008.01.017_bib40 – year: 2003 ident: 10.1016/j.advwatres.2008.01.017_bib1 – volume: 36 start-page: 3731 issue: 12 year: 2000 ident: 10.1016/j.advwatres.2008.01.017_bib4 article-title: Cost effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation publication-title: Water Resour Res doi: 10.1029/2000WR900232 – year: 1999 ident: 10.1016/j.advwatres.2008.01.017_bib55 – volume: vol. 4193 start-page: 122 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib62 article-title: Hierarchical boa, cluster exact approximation, and Ising spin glasses – year: 1989 ident: 10.1016/j.advwatres.2008.01.017_bib13 – volume: 10 start-page: 289 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib44 article-title: How efficient and effective are evolutionary multiobjective algorithms at hydrologic model calibration? publication-title: Hydrol Earth Syst Sci doi: 10.5194/hess-10-289-2006 – start-page: 292 year: 1998 ident: 10.1016/j.advwatres.2008.01.017_bib66 article-title: Multiobjective optimization using evolutionary algorithms – a comparative case study – volume: 42 start-page: 190 issue: 2 year: 2004 ident: 10.1016/j.advwatres.2008.01.017_bib38 article-title: Spatial interpolation methods for nonstationary plume data publication-title: Ground Water doi: 10.1111/j.1745-6584.2004.tb02667.x – year: 1998 ident: 10.1016/j.advwatres.2008.01.017_bib36 – year: 1997 ident: 10.1016/j.advwatres.2008.01.017_bib39 article-title: Rank order geostatistics: a proposal for a unique coding and common processing of diverse data – volume: 31 start-page: 399 issue: 2 year: 1995 ident: 10.1016/j.advwatres.2008.01.017_bib21 article-title: Using genetic algorithms to solve a multiobjective groundwater monitoring problem publication-title: Water Resour Res doi: 10.1029/94WR02039 – volume: 130 start-page: 33 issue: 1 year: 2003 ident: 10.1016/j.advwatres.2008.01.017_bib23 article-title: Groundwater monitoring network optimization with redundancy reduction publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2004)130:1(33) – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.advwatres.2008.01.017_bib45 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 30 start-page: 408 year: 2007 ident: 10.1016/j.advwatres.2008.01.017_bib30 article-title: A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications publication-title: Adv Water Resour doi: 10.1016/j.advwatres.2006.05.009 – year: 1997 ident: 10.1016/j.advwatres.2008.01.017_bib37 – start-page: 535 year: 1998 ident: 10.1016/j.advwatres.2008.01.017_bib69 article-title: Domino convergence, drift, and the temporal-salience structure of problems – ident: 10.1016/j.advwatres.2008.01.017_bib47 – ident: 10.1016/j.advwatres.2008.01.017_bib71 – volume: 36 start-page: 3757 issue: 12 year: 2000 ident: 10.1016/j.advwatres.2008.01.017_bib70 article-title: Designing a competent simple genetic algorithm for search and optimization publication-title: Water Resour Res doi: 10.1029/2000WR900231 – ident: 10.1016/j.advwatres.2008.01.017_bib54 doi: 10.1016/B978-1-55860-332-5.50042-0 – volume: vol. 214 year: 2005 ident: 10.1016/j.advwatres.2008.01.017_bib68 – volume: 10 start-page: 263 issue: 3 year: 2002 ident: 10.1016/j.advwatres.2008.01.017_bib48 article-title: Combining convergence and diversity in evolutionary multiobjective optimization publication-title: Evol Comput doi: 10.1162/106365602760234108 – ident: 10.1016/j.advwatres.2008.01.017_bib26 – ident: 10.1016/j.advwatres.2008.01.017_bib43 – volume: 6 start-page: 131 year: 1998 ident: 10.1016/j.advwatres.2008.01.017_bib32 article-title: Geologically based model of heterogeneous hydraulic conductivity in an alluvial setting publication-title: Hydrogeol J doi: 10.1007/s100400050139 – ident: 10.1016/j.advwatres.2008.01.017_bib64 – volume: Vol. 4403 start-page: 862 year: 2007 ident: 10.1016/j.advwatres.2008.01.017_bib67 article-title: The hypervolume indicator revisited: on the design of Pareto-compliant indicators via weighted integration – volume: vol. 6 year: 1994 ident: 10.1016/j.advwatres.2008.01.017_bib20 article-title: Inverse problems in groundwater modeling – volume: 130 start-page: 140 issue: 2 year: 2004 ident: 10.1016/j.advwatres.2008.01.017_bib7 article-title: Striking the balance: long-term groundwater monitoring design for conflicting objectives publication-title: J Water Resour Plann Manage doi: 10.1061/(ASCE)0733-9496(2004)130:2(140) – volume: 2 start-page: 45 issue: 2 year: 1998 ident: 10.1016/j.advwatres.2008.01.017_bib12 article-title: Evolutionary algorithms and gradient search: similarities and differences publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.728207 – volume: 29 start-page: 792 issue: 6 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib9 article-title: Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design publication-title: Adv Water Resour doi: 10.1016/j.advwatres.2005.07.010 – volume: 93 start-page: 103 year: 2004 ident: 10.1016/j.advwatres.2008.01.017_bib24 article-title: Optimal space–time coverage and exploration costs in groundwater monitoring networks publication-title: Environ Monitor Assess doi: 10.1023/B:EMAS.0000016795.91968.13 – volume: 25 start-page: 215 issue: 2 year: 1989 ident: 10.1016/j.advwatres.2008.01.017_bib34 article-title: Stochastic analysis of nonstationary subsurface solute transport: 1. Unconditional moments publication-title: Water Resour Res doi: 10.1029/WR025i002p00215 – volume: 30 start-page: 335 year: 2007 ident: 10.1016/j.advwatres.2008.01.017_bib42 article-title: Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications publication-title: Adv Water Resour doi: 10.1016/j.advwatres.2006.06.006 – volume: 21 start-page: 199 issue: 2 year: 1985 ident: 10.1016/j.advwatres.2008.01.017_bib16 article-title: Multicriterion network design using geostatistics publication-title: Water Resour Res doi: 10.1029/WR021i002p00199 – year: 2002 ident: 10.1016/j.advwatres.2008.01.017_bib50 – volume: 22 start-page: 683 year: 2007 ident: 10.1016/j.advwatres.2008.01.017_bib8 article-title: Using interactive archives in evolutionary multiobjective optimization: case studies for long-term groundwater monitoring design publication-title: Environ Modell Software doi: 10.1016/j.envsoft.2005.12.021 – volume: 33 start-page: 2081 issue: 9 year: 1997 ident: 10.1016/j.advwatres.2008.01.017_bib22 article-title: A method for the optimal location of monitoring wells for detection of groundwater contamination in three-dimensional aquifers publication-title: Water Resour Res doi: 10.1029/97WR01704 – year: 2007 ident: 10.1016/j.advwatres.2008.01.017_bib31 article-title: Contamination, risk, and heterogeneity: on the effectiveness of aquifer remediation publication-title: Environ Geol – ident: 10.1016/j.advwatres.2008.01.017_bib46 – volume: 25 start-page: 2245 issue: 10 year: 1989 ident: 10.1016/j.advwatres.2008.01.017_bib15 article-title: Multiobjective sampling design for parameter estimation and model discrimination in groundwater solute transport publication-title: Water Resour Res doi: 10.1029/WR025i010p02245 – ident: 10.1016/j.advwatres.2008.01.017_bib27 – volume: 25 start-page: 2331 issue: 11 year: 1989 ident: 10.1016/j.advwatres.2008.01.017_bib35 article-title: Stochastic analysis of nonstationary subsurface solute transport: 2. Conditional moments publication-title: Water Resour Res doi: 10.1029/WR025i011p02331 – volume: vol. 4193 start-page: 788 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib60 article-title: Performance of evolutionary algorithms on random decomposable problems – volume: 31 start-page: 2581 issue: 10 year: 1995 ident: 10.1016/j.advwatres.2008.01.017_bib3 article-title: Sampling design methods for groundwater modeling under uncertainty publication-title: Water Resour Res doi: 10.1029/95WR02107 – volume: 13 start-page: 1692 issue: 6 year: 1979 ident: 10.1016/j.advwatres.2008.01.017_bib2 article-title: Dimensionality problems in water quality network design publication-title: Water Resour Res doi: 10.1029/WR015i006p01692 – year: 2001 ident: 10.1016/j.advwatres.2008.01.017_bib10 – start-page: 405 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib59 article-title: Sporadic model building for efficiency enhancement of hierarchical boa – volume: vol. 3410 start-page: 386 year: 2005 ident: 10.1016/j.advwatres.2008.01.017_bib41 article-title: The value of online adaptive search: a performance comparison of NSGA-II, ϵ-NSGAII, and ϵMOEA – volume: 7 year: 2004 ident: 10.1016/j.advwatres.2008.01.017_bib53 article-title: Acyclic digraphs and eigenvalues of (0,1)-matrices publication-title: J Integer Sequen – year: 1968 ident: 10.1016/j.advwatres.2008.01.017_bib57 – ident: 10.1016/j.advwatres.2008.01.017_bib14 – ident: 10.1016/j.advwatres.2008.01.017_bib29 – year: 2005 ident: 10.1016/j.advwatres.2008.01.017_bib51 article-title: Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms doi: 10.1007/978-3-540-32373-0_6 – volume: 77 start-page: 41 year: 2005 ident: 10.1016/j.advwatres.2008.01.017_bib6 article-title: Cost-effective sampling network design for contaminant plume monitoring under general hydrogeological conditions publication-title: J Contamin Hydrol doi: 10.1016/j.jconhyd.2004.11.006 – volume: 6 start-page: 461 year: 1978 ident: 10.1016/j.advwatres.2008.01.017_bib56 article-title: Estimating the dimension of a model publication-title: Ann Statist doi: 10.1214/aos/1176344136 – volume: 27 start-page: 925 issue: 5 year: 1991 ident: 10.1016/j.advwatres.2008.01.017_bib17 article-title: Sampling design for groundwater solute transport: tests methods and analysis of cape cod tracer test data publication-title: Water Resour Res doi: 10.1029/90WR02657 – volume: 10 start-page: 371 issue: 4 year: 2002 ident: 10.1016/j.advwatres.2008.01.017_bib73 article-title: A computationally efficient evolutionary algorithm for real-parameter optimization publication-title: Evol Comput doi: 10.1162/106365602760972767 – volume: 7 start-page: 117 issue: 2 year: 2003 ident: 10.1016/j.advwatres.2008.01.017_bib65 article-title: Performance assessment of multiobjective optimizers: an analysis and review publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2003.810758 – year: 1999 ident: 10.1016/j.advwatres.2008.01.017_bib72 article-title: Practical nonparametric statistics – volume: 30 start-page: 3499 issue: 12 year: 1994 ident: 10.1016/j.advwatres.2008.01.017_bib19 article-title: When enough is enough: the worth of monitoring data in aquifer remediation design publication-title: Water Resour Res doi: 10.1029/94WR01972 – volume: 42 year: 2006 ident: 10.1016/j.advwatres.2008.01.017_bib5 article-title: Optimal groundwater remediation design using an adaptive neural network genetic algorithm publication-title: Water Resour Res doi: 10.1029/2005WR004303 – ident: 10.1016/j.advwatres.2008.01.017_bib52 – ident: 10.1016/j.advwatres.2008.01.017_bib28 – ident: 10.1016/j.advwatres.2008.01.017_bib49 doi: 10.1007/3-540-36970-8_16 |
| SSID | ssj0008472 |
| Score | 2.2053275 |
| Snippet | This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies... |
| SourceID | proquest pascalfrancis crossref fao |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 828 |
| SubjectTerms | algorithms Bayesian networks Bayesian theory Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics environmental monitoring epsilon-dominance hierarchical Bayesian optimization algorithm evolutionary algorithms Exact sciences and technology groundwater groundwater contamination Hydrogeology Hydrology. Hydrogeology mathematics and statistics multiobjective monitoring Pollution, environment geology probabilistic models wells |
| Title | new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems |
| URI | https://www.proquest.com/docview/20693826 https://www.proquest.com/docview/46542938 |
| Volume | 31 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier ScienceDirect issn: 0309-1708 databaseCode: AIKHN dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0008472 providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier ScienceDirect issn: 0309-1708 databaseCode: .~1 dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0008472 providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect (Elsevier) issn: 0309-1708 databaseCode: ACRLP dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0008472 providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals issn: 0309-1708 databaseCode: AKRWK dateStart: 19950101 customDbUrl: isFulltext: true mediaType: online dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0008472 providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9NAEF6l5QIHxFMNj7IHxMVyZK8fax8DalVBKagkUm_W2l6XhsQOeYDaA_DTmdldP6IUFZAsK3L80Ho-z8zOfLNDyMsgd8HPTTPbywMM3eS5LUKYpeTMzViQea4fYHHy-5PwaOy_PQvOer2fHdbSepUOsqtr60r-R6pwDOSKVbL_INnmpnAAfoN8YQ8Shv1fyXiIDcEtOV9eTKvSzitFa8lwEWEsK1ZdTqbWa3EpVaVkBdphZsouLTE9rxYXq88zxTOcIh9ckwurdKJ1oDVTn7vi55WaLG7liu9hmS40y65nO9RkAkWv_S5w6cWFyQy06SLEnM59tM2eT6UOt35s47LvxHK-uLr8os883QhMRC0NsC7Iwk4L3Im6ytZzO6AKrPkAZnx25AcdHRqZanFjjvV_W5peBx0mA5F_g0HBiAwv1oWNt8atTuiffEgOx8fHyejgbPRq_tXGtmOYnjc9WHbILQZmAXt_DH60HCEw3U0aCkeyQRC89skb7s1OISok24oliLvQjVK2bL5yZEb3yF0zA6FDDaf7pCfLB-ROZ13Kh-TXkAKw6BawaBdYtAYW7QKLNsCiACyqgEU3gUVbYFEDLKqBRWtgPSLjw4PRmyPbtOqwhReHKzvMGXjSXMJ8wHd4GmchWArupCLIBIsEKHkmwRVOo8LnsSsFS1khQNCs4FEkA997THbLqpR7hAondgrH94vAE-BheXHBU8m4mwnJwduO-ySs33CSmXXssZ3KNKkJi5OkEY3psurCxvvEaS6c66Vcbr5kD0SYiHMwuMn4E8M0PwY2Y5_1yf6GXJtbMgwyhJ7XJy9qQSegsjEPJ0pZrfEBYQwvJPzzGb5qI-dFT2484ym53X57z8juarGWz8FNXqX7Csq_AYF3xOM |
| linkProvider | Elsevier |
| 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=A+new+epsilon-dominance+hierarchical+Bayesian+optimization+algorithm+for+large+multiobjective+monitoring+network+design+problems&rft.jtitle=Advances+in+water+resources&rft.au=Kollat%2C+J+B&rft.au=Reed%2C+P+M&rft.au=Kasprzyk%2C+J+R&rft.date=2008-05-01&rft.issn=0309-1708&rft.volume=31&rft.issue=5+p.828-845&rft.spage=828&rft.epage=845&rft_id=info:doi/10.1016%2Fj.advwatres.2008.01.017&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0309-1708&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0309-1708&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0309-1708&client=summon |