Chaotic differential evolution approach for 3D trajectory planning of unmanned aerial vehicle

To overcome the disadvantage of low convergence speed and the premature convergence of differential evolution (DE), a chaotic DE was proposed. Aimed to improve the ability to break away from the local optimum and to find the global optimum, the non-winner particles were mutated by chaotic search and...

Full description

Saved in:
Bibliographic Details
Published in2013 10th IEEE International Conference on Control and Automation (ICCA) pp. 368 - 372
Main Authors Ziwei Zhou, Haibin Duan, Pei Li, Bin Di
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Automation
Chaos
Convergence
Educational institutions
Planning
Trajectory
Vectors
Online AccessGet full text
ISBN9781467347075
1467347078
ISSN1948-3449
DOI10.1109/ICCA.2013.6565043

Cover

Abstract To overcome the disadvantage of low convergence speed and the premature convergence of differential evolution (DE), a chaotic DE was proposed. Aimed to improve the ability to break away from the local optimum and to find the global optimum, the non-winner particles were mutated by chaotic search and the global best position was mutated using the small extent of disturbance according to the variance ratio of fitness. Series of experimental comparison results are presented to show the feasibility, effectiveness and robustness of our proposed method. The results show that the proposed algorithm can effectively improve both the global searching ability and much better ability of avoiding pre-maturity.
AbstractList To overcome the disadvantage of low convergence speed and the premature convergence of differential evolution (DE), a chaotic DE was proposed. Aimed to improve the ability to break away from the local optimum and to find the global optimum, the non-winner particles were mutated by chaotic search and the global best position was mutated using the small extent of disturbance according to the variance ratio of fitness. Series of experimental comparison results are presented to show the feasibility, effectiveness and robustness of our proposed method. The results show that the proposed algorithm can effectively improve both the global searching ability and much better ability of avoiding pre-maturity.
Author Pei Li
Ziwei Zhou
Haibin Duan
Bin Di
Author_xml – sequence: 1
  surname: Ziwei Zhou
  fullname: Ziwei Zhou
  email: 574691389@qq.com
  organization: Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
– sequence: 2
  surname: Haibin Duan
  fullname: Haibin Duan
  email: hbduan@buaa.edu.cn
  organization: Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
– sequence: 3
  surname: Pei Li
  fullname: Pei Li
  email: peilibuaa@asee.buaa.edu.cn
  organization: Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
– sequence: 4
  surname: Bin Di
  fullname: Bin Di
  email: dibin@asee.buaa.edu.cn
  organization: Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
BookMark eNo1kMtKAzEUQCNWsK3zAeImPzA1aR53ZlnGV6HgRsGNlDS5cVKmyZBOC_17FevqcDZncSZkFFNEQm45m3HO6vtl0yxmc8bFTCutmBQXZMKlBiGB6Y9LUtRQ_TuoERnzWlalkLK-JsV-v2WMcVYpzdiYfDatSUOw1AXvMWMcgukoHlN3GEKK1PR9Tsa21KdMxQMdstmiHVI-0b4zMYb4RZOnh7j7EXTUYP4NHLENtsMbcuVNt8fizCl5f3p8a17K1evzslmsysBBDeXGeSOMEggC-LzyVlpp0DqonFFa1s47ACuEBaVQITg7B0S1AY2wAc_FlNz9dQMirvscdiaf1uc74htuRVpZ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICCA.2013.6565043
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library (IEL) (UW System Shared)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 146734706X
9781467347082
1467347086
9781467347068
EndPage 372
ExternalDocumentID 6565043
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ADFMO
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IEGSK
IERZE
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-bdfa3a53e737128fc4c4aecd78da5649dfd77c33c755e5e7dc27ee5b76e7b7f13
IEDL.DBID RIE
ISBN 9781467347075
1467347078
ISSN 1948-3449
IngestDate Wed Aug 27 04:16:40 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-bdfa3a53e737128fc4c4aecd78da5649dfd77c33c755e5e7dc27ee5b76e7b7f13
PageCount 5
ParticipantIDs ieee_primary_6565043
PublicationCentury 2000
PublicationDate 2013-June
PublicationDateYYYYMMDD 2013-06-01
PublicationDate_xml – month: 06
  year: 2013
  text: 2013-June
PublicationDecade 2010
PublicationTitle 2013 10th IEEE International Conference on Control and Automation (ICCA)
PublicationTitleAbbrev ICCA
PublicationYear 2013
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001085600
ssj0001106799
Score 1.5912607
Snippet To overcome the disadvantage of low convergence speed and the premature convergence of differential evolution (DE), a chaotic DE was proposed. Aimed to improve...
SourceID ieee
SourceType Publisher
StartPage 368
SubjectTerms Automation
Chaos
Convergence
Educational institutions
Planning
Trajectory
Vectors
Title Chaotic differential evolution approach for 3D trajectory planning of unmanned aerial vehicle
URI https://ieeexplore.ieee.org/document/6565043
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEA61J734qvgmB4-mtpvHdI9SLSpUPFjoRSSPCfXVFtkV9NebpFur4sHbZiHsbvjIzGbm-z5CjoA758BYJow0TCgPLNfAWR5JjcpmUie7t_61uhiIq6Ec1sjxFxcGEVPzGTbjZarlu4kt41HZScg9ouDWElkCyGdcrcV5SsgdVCU1l8ZRGy3ZR4bf9A7jQuSJ16WAi6hwM5d7qsayqni2W_nJZbd7Gpu-eLN64A_nlRR4equkP3_lWb_JU7MsTNN-_FJz_O83rZHGguJHb76C1zqp4XiDrHxTJ9wkd92RngRc0bmJStgMnim-VWClczlyGvJeys9o8aofUw3gnU4rKyQ68bQcv-i4mVOdwE7fcBSx2iCD3vlt94JVbgzsIaQYBTPOa64lR-AQgpq3wgqN1kHHaalE7rwDsJxbkBIlgrMZIEoDCsGAb_MtUh9PxrhNqBJWe6uVRgMi9zpvZYg-TLSgeWZaO2QzLtT9dCa4cV-t0e7ft_fIcjbzqGCt9j6pF68lHoRMoTCHCSKfFVm4oQ
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3JTsMwELVYDsCFXez4wBGXNl6GHFEBFWgRB5C4oMrLWGVrqypFgq_HdtOyiAO3OFKUxHryjD3z3iPkALhzDoxlwkjDhPLAcg2c5ZHUqGwmdbJ7a12rxp24vJf3U-RwwoVBxNR8hpV4mWr5rmeH8ajsKOQeUXBrmszKsKuAEVvr60QlZA-qFJtL46iOlgwkw0b9mHEh8sTsUsBF1LgZCz6VY1nWPGvV_OiiXj-JbV-8Ur7yh_dKCj3ni6Q1_uhRx8lzZViYiv34pef4379aImtfJD96Mwlfy2QKuytk4Zs-4Sp5qHd0LyCLjm1UwnLwQvGthCsdC5LTkPlSfkqLgX5KVYB32i_NkGjP02H3VcflnOoEd_qGnYjWNXJ3fnZbb7DSj4E9hiSjYMZ5zbXkCBxCWPNWWKHROjh2WiqRO-8ALOcWpESJ4GwGiNKAQjDga3ydzHR7XdwgVAmrvdVKowGRe51XM0QfHrSgeWaqm2Q1TlS7P5LcaJdztPX37X0y17htNdvNi-urbTKfjRwrWLW2Q2aKwRB3Q95QmL0El0_7Lbvy
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%3Abook&rft.genre=proceeding&rft.title=2013+10th+IEEE+International+Conference+on+Control+and+Automation+%28ICCA%29&rft.atitle=Chaotic+differential+evolution+approach+for+3D+trajectory+planning+of+unmanned+aerial+vehicle&rft.au=Ziwei+Zhou&rft.au=Haibin+Duan&rft.au=Pei+Li&rft.au=Bin+Di&rft.date=2013-06-01&rft.pub=IEEE&rft.isbn=9781467347075&rft.issn=1948-3449&rft.spage=368&rft.epage=372&rft_id=info:doi/10.1109%2FICCA.2013.6565043&rft.externalDocID=6565043
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1948-3449&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1948-3449&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1948-3449&client=summon