A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization

The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by numerous elements, including the incorrect segmentation of the subspaces and the challenges in balancing convergence and diversity. To addre...

Full description

Saved in:
Bibliographic Details
Published in:Information sciences Vol. 677; p. 120940
Main Authors: Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming
Format: Journal Article
Language:English
Published: Elsevier Inc 01.08.2024
Subjects:
ISSN:0020-0255
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by numerous elements, including the incorrect segmentation of the subspaces and the challenges in balancing convergence and diversity. To address these issues, an objective space Decomposition and Clustering-based Evolutionary Algorithm (DCEA) is proposed in this paper. Specifically, DCEA employs K-means clustering to create an appropriate mating pool for each individual without the necessity to predetermine the number of clusters. Within each mating pool, the proposed adaptive evolutionary operator is applied to produce offspring for balancing the convergence and diversity. To enhance the accuracy of partitioning, a refined environmental selection approach utilizing supplementary weight vectors is developed. Additionally, by utilizing historical clustering data, a straightforward approach to periodically adjust reference vectors for the allocation of computational resources is proposed. In experiments, both MOPs and many-objective optimization problems (MaOPs) are used to test DCEA. A total of 27 MOPs and 30 MaOPs are involved and 16 state-of-the-art algorithms are employed to compare with DCEA. Comprehensive experiments show that DCEA is an effective algorithm for solving both MOPs and MaOPs.
AbstractList The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by numerous elements, including the incorrect segmentation of the subspaces and the challenges in balancing convergence and diversity. To address these issues, an objective space Decomposition and Clustering-based Evolutionary Algorithm (DCEA) is proposed in this paper. Specifically, DCEA employs K-means clustering to create an appropriate mating pool for each individual without the necessity to predetermine the number of clusters. Within each mating pool, the proposed adaptive evolutionary operator is applied to produce offspring for balancing the convergence and diversity. To enhance the accuracy of partitioning, a refined environmental selection approach utilizing supplementary weight vectors is developed. Additionally, by utilizing historical clustering data, a straightforward approach to periodically adjust reference vectors for the allocation of computational resources is proposed. In experiments, both MOPs and many-objective optimization problems (MaOPs) are used to test DCEA. A total of 27 MOPs and 30 MaOPs are involved and 16 state-of-the-art algorithms are employed to compare with DCEA. Comprehensive experiments show that DCEA is an effective algorithm for solving both MOPs and MaOPs.
ArticleNumber 120940
Author Yan, Zeyuan
Yang, Mingming
Zheng, Wei
Tan, Yanyan
Author_xml – sequence: 1
  givenname: Wei
  orcidid: 0000-0002-5471-7328
  surname: Zheng
  fullname: Zheng, Wei
  email: wzhengmc@gmail.com
  organization: College of Computer Science and Technology, Xi'an University of Science and Technology, No.58, Yanta Road, Xi'an, 710054, Shaanxi, China
– sequence: 2
  givenname: Yanyan
  orcidid: 0000-0001-5056-6019
  surname: Tan
  fullname: Tan, Yanyan
  email: yytan928@163.com
  organization: School of Information Science and Engineering, Shandong Normal University, No.1, University Road, Changqing District, Jinan, 250358, Shandong, China
– sequence: 3
  givenname: Zeyuan
  surname: Yan
  fullname: Yan, Zeyuan
  email: yanzy9@mail2.sysu.edu.cn
  organization: School of Computer Science and Engineering, Sun Yat-sen University, No.135, Xingang Xi Road, Guangzhou, 510275, Guangdong, China
– sequence: 4
  givenname: Mingming
  surname: Yang
  fullname: Yang, Mingming
  email: yangmingming629@163.com
  organization: School of Mathematics and Statistics, Chongqing Jiaotong University, No.66, Xuefu Road, 400074, Chongqing, China
BookMark eNp9kMtOwzAQRb0oEi3wAez8A0nHrpMmYlVVvKRKbGBtOY5dHCV2ZLuB8vUkFAmJRTczm3uuZs4CzayzCqFbAikBki-b1NiQUqAsJRRKBjM0B6CQAM2yS7QIoQEAts7zOfrcYOsG1WLZHkJU3th9UomgaqwG1x6icVb4Ixbt3nkT3zv8MU7sqkbJaAaFQy-kwrWSrutdMFMea-dxd2ijWXbCHpO_sOuj6cyXmFLX6EKLNqib332F3h7uX7dPye7l8Xm72SWSluuYEKiEhrKguhCMkSovKNSsEAWTNctZlpOsXBWrrCa5qGqpKGRUVFqILNOi0Hp1hdanXuldCF5pLk38uSB6YVpOgE_SeMNHaXySxk_SRpL8I3tvutHGWebuxKjxpcEoz4M0ykpVGz9K4LUzZ-hv59GNEg
CitedBy_id crossref_primary_10_1007_s40747_025_01955_0
crossref_primary_10_1007_s11227_025_07705_w
crossref_primary_10_1016_j_eswa_2024_126086
crossref_primary_10_1177_14727978251366560
Cites_doi 10.1109/TEVC.2020.2999100
10.1109/TEVC.2015.2420112
10.1109/TEVC.2009.2021467
10.1109/TCYB.2018.2834466
10.1109/TSMC.2019.2956288
10.1016/j.ins.2020.03.104
10.1109/TEVC.2015.2424921
10.1109/TEVC.2018.2865495
10.1109/TSMC.2022.3186546
10.1109/TEVC.2013.2281533
10.1109/TEVC.2017.2725902
10.1109/TEVC.2018.2866927
10.1109/TEVC.2015.2504730
10.1109/TEVC.2015.2424251
10.1016/j.ins.2022.08.030
10.1109/TEVC.2016.2600642
10.1109/TCYB.2018.2883914
10.1016/j.ins.2018.06.073
10.1109/TSMC.2017.2654301
10.1109/TEVC.2018.2882166
10.1109/TCYB.2022.3155646
10.1109/TEVC.2018.2874465
10.1109/TEVC.2007.894202
10.1109/MCI.2017.2742868
10.1109/4235.996017
10.1109/TEVC.2015.2395073
10.1109/TEVC.2018.2791283
10.1109/TEVC.2016.2519378
10.1016/j.ins.2021.08.054
10.1016/j.ins.2017.10.037
10.1109/TEVC.2013.2281535
10.1109/TSMC.2018.2818175
10.1109/TEVC.2015.2433266
10.1016/j.swevo.2018.04.009
10.1109/TCYB.2018.2889413
10.1016/j.ins.2018.11.032
10.1109/TCYB.2021.3062949
10.1109/TEVC.2014.2308305
10.1016/j.cosrev.2020.100286
10.1109/TCYB.2021.3051021
10.1016/j.knosys.2015.12.022
10.1109/TEVC.2007.892759
ContentType Journal Article
Copyright 2024 Elsevier Inc.
Copyright_xml – notice: 2024 Elsevier Inc.
DBID AAYXX
CITATION
DOI 10.1016/j.ins.2024.120940
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Library & Information Science
ExternalDocumentID 10_1016_j_ins_2024_120940
S0020025524008545
GroupedDBID --K
--M
--Z
-~X
.DC
.~1
0R~
1B1
1OL
1RT
1~.
1~5
29I
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JN
9JO
AAAKF
AAAKG
AABNK
AACTN
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AARIN
AAXKI
AAXUO
AAYFN
ABAOU
ABBOA
ABEFU
ABFNM
ABJNI
ABMAC
ABTAH
ABUCO
ABWVN
ABXDB
ACDAQ
ACGFS
ACNNM
ACRLP
ACRPL
ACZNC
ADBBV
ADEZE
ADGUI
ADJOM
ADMUD
ADNMO
ADTZH
ADVLN
AEBSH
AECPX
AEKER
AENEX
AFFNX
AFJKZ
AFKWA
AFTJW
AGHFR
AGUBO
AGYEJ
AHHHB
AHJVU
AHZHX
AIALX
AIEXJ
AIGVJ
AIKHN
AITUG
AJOXV
AKRWK
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AOUOD
APLSM
ARUGR
ASPBG
AVWKF
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
CS3
DU5
EBS
EFJIC
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
GBOLZ
HAMUX
HLZ
HVGLF
HZ~
H~9
IHE
J1W
JJJVA
KOM
LG9
LY1
M41
MHUIS
MO0
MS~
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
ROL
RPZ
SBC
SDF
SDG
SDP
SDS
SES
SEW
SPC
SPCBC
SSB
SSD
SST
SSV
SSW
SSZ
T5K
TN5
TWZ
UHS
WH7
WUQ
XPP
YYP
ZMT
ZY4
~02
~G-
77I
9DU
AATTM
AAYWO
AAYXX
ACLOT
ACVFH
ADCNI
AEIPS
AEUPX
AFPUW
AGQPQ
AIGII
AIIUN
AKBMS
AKYEP
ANKPU
APXCP
CITATION
EFKBS
EFLBG
~HD
ID FETCH-LOGICAL-c297t-10baf0982f8a441b6820d48a84cd464561593835d16abdce2052abfaa55fa8ff3
ISICitedReferencesCount 6
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001302594000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0020-0255
IngestDate Sat Nov 29 02:44:14 EST 2025
Tue Nov 18 21:14:49 EST 2025
Sat Dec 28 15:52:44 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Many-objective optimization problem
Decomposition
Convergence and diversity
Clustering
Multi-objective optimization problem
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c297t-10baf0982f8a441b6820d48a84cd464561593835d16abdce2052abfaa55fa8ff3
ORCID 0000-0001-5056-6019
0000-0002-5471-7328
ParticipantIDs crossref_citationtrail_10_1016_j_ins_2024_120940
crossref_primary_10_1016_j_ins_2024_120940
elsevier_sciencedirect_doi_10_1016_j_ins_2024_120940
PublicationCentury 2000
PublicationDate August 2024
2024-08-00
PublicationDateYYYYMMDD 2024-08-01
PublicationDate_xml – month: 08
  year: 2024
  text: August 2024
PublicationDecade 2020
PublicationTitle Information sciences
PublicationYear 2024
Publisher Elsevier Inc
Publisher_xml – name: Elsevier Inc
References Sun, Xue, Zhang, Yen (br0450) 2019; 23
Zheng, Sun, Zhang, Xu (br0020) 2023; 53
Sun, Yen, Yi (br0430) 2019; 23
Tian, Cheng, Zhang, Jin (br0470) 2017; 12
Sun, Zhang, Zhou, Zhang, Zhang, Tu, Ye (br0210) 2019; 23
Zhou, Wang, Zhang (br0220) 2020; 509
Chunaev (br0480) 2020; 37
Lin, Liu, Wong, Gong, Coello Coello, Chen, Zhang (br0170) 2019; 23
Elarbi, Bechikh, Gupta, Ben Said, Ong (br0050) 2018; 48
Cheng, Jin, Olhofer, Sendhoff (br0090) 2016; 20
Liu, Chen, Zhang, Deb (br0110) 2018; 22
Zhang, Tian, Cheng, Jin (br0270) 2015; 19
Ge, Zhao, Sun, Wang, Tan, Zhang, Chen (br0240) 2019; 23
Liu, Lin, Li, Tan (br0140) 2023
Tian, He, Cheng, Zhang (br0340) 2021; 51
Hua, Jin, Hao (br0200) 2019; 49
Tian, Zhang, Cheng, He, Jin (br0400) 2020; 50
Zhang, Zheng, Cheng, Qiu, Jin (br0330) 2018; 427
Deb, Pratap, Agarwal, Meyarivan (br0030) 2002; 6
Zhang, Hui (br0060) 2007; 11
Pizzuti, Socievole (br0490) 2020; 50
Chen, Wu, Pedrycz, Suganthan, Xing, Zhu (br0100) 2021; 51
Yuan, Xu, Wang, Yao (br0410) 2016; 20
Liu, Ishibuchi, Masuyama, Nojima (br0380) 2020; 24
Liu, Yu, Lin, Tan (br0190) 2020; 537
Zhou, Zhang, Jin (br0390) 2009; 13
Falcón-Cardona, Coello (br0300) 2020; 53
Wang, Zhou (br0350) 2023
Sun, Zheng, Zhang, Xu (br0010) 2022; 52
Zhang, Gao, Li, Shen, Zhou, Tan (br0310) 2022; 52
Sun, Zhang, Zhou, Zhang, Zhang (br0150) 2019; 44
Trivedi, Srinivasan, Sanyal, Ghosh (br0070) 2017; 21
He, Yen (br0460) 2016; 20
Zitzler, Künzli (br0290) 2004
Cheng, Jin, Narukawa, Sendhoff (br0360) 2015; 19
Zhang, Zhou, Jin (br0250) 2008; 12
Yuan, Liu, Gu, Zhang, He (br0440) 2021; 25
Liu, Zheng, Lin, Tan (br0180) 2021; 578
Zhang, Zhou, Tang, Zhang (br0370) 2018; 465
Tian, Si, Zhang, Tan, Jin (br0230) 2023; 53
Cheng, Yen, Zhang (br0420) 2015; 19
Mirjalili (br0260) 2016; 96
Li, Yang, Liu (br0280) 2016; 20
Deb, Jain (br0040) 2014; 18
Liu, Gu, Zhang (br0080) 2014; 18
Zhang, Tian, Cheng, Jin (br0160) 2018; 22
Kang, Song, Zhou, Li (br0120) 2019; 49
Zhou, Zhang (br0320) 2016; 20
Zheng, Sun (br0130) 2022; 610
Zhou (10.1016/j.ins.2024.120940_br0220) 2020; 509
Sun (10.1016/j.ins.2024.120940_br0450) 2019; 23
Li (10.1016/j.ins.2024.120940_br0280) 2016; 20
Tian (10.1016/j.ins.2024.120940_br0470) 2017; 12
Zhang (10.1016/j.ins.2024.120940_br0330) 2018; 427
Tian (10.1016/j.ins.2024.120940_br0400) 2020; 50
Hua (10.1016/j.ins.2024.120940_br0200) 2019; 49
Chen (10.1016/j.ins.2024.120940_br0100) 2021; 51
Chunaev (10.1016/j.ins.2024.120940_br0480) 2020; 37
He (10.1016/j.ins.2024.120940_br0460) 2016; 20
Deb (10.1016/j.ins.2024.120940_br0030) 2002; 6
Zheng (10.1016/j.ins.2024.120940_br0130) 2022; 610
Cheng (10.1016/j.ins.2024.120940_br0360) 2015; 19
Sun (10.1016/j.ins.2024.120940_br0010) 2022; 52
Ge (10.1016/j.ins.2024.120940_br0240) 2019; 23
Liu (10.1016/j.ins.2024.120940_br0080) 2014; 18
Zhang (10.1016/j.ins.2024.120940_br0370) 2018; 465
Deb (10.1016/j.ins.2024.120940_br0040) 2014; 18
Pizzuti (10.1016/j.ins.2024.120940_br0490) 2020; 50
Zitzler (10.1016/j.ins.2024.120940_br0290) 2004
Zhou (10.1016/j.ins.2024.120940_br0390) 2009; 13
Tian (10.1016/j.ins.2024.120940_br0340) 2021; 51
Tian (10.1016/j.ins.2024.120940_br0230) 2023; 53
Wang (10.1016/j.ins.2024.120940_br0350) 2023
Liu (10.1016/j.ins.2024.120940_br0180) 2021; 578
Yuan (10.1016/j.ins.2024.120940_br0410) 2016; 20
Zhang (10.1016/j.ins.2024.120940_br0270) 2015; 19
Trivedi (10.1016/j.ins.2024.120940_br0070) 2017; 21
Sun (10.1016/j.ins.2024.120940_br0150) 2019; 44
Mirjalili (10.1016/j.ins.2024.120940_br0260) 2016; 96
Liu (10.1016/j.ins.2024.120940_br0190) 2020; 537
Sun (10.1016/j.ins.2024.120940_br0210) 2019; 23
Zhang (10.1016/j.ins.2024.120940_br0060) 2007; 11
Zhou (10.1016/j.ins.2024.120940_br0320) 2016; 20
Liu (10.1016/j.ins.2024.120940_br0140) 2023
Liu (10.1016/j.ins.2024.120940_br0380) 2020; 24
Cheng (10.1016/j.ins.2024.120940_br0420) 2015; 19
Sun (10.1016/j.ins.2024.120940_br0430) 2019; 23
Zhang (10.1016/j.ins.2024.120940_br0160) 2018; 22
Elarbi (10.1016/j.ins.2024.120940_br0050) 2018; 48
Lin (10.1016/j.ins.2024.120940_br0170) 2019; 23
Kang (10.1016/j.ins.2024.120940_br0120) 2019; 49
Zhang (10.1016/j.ins.2024.120940_br0250) 2008; 12
Yuan (10.1016/j.ins.2024.120940_br0440) 2021; 25
Cheng (10.1016/j.ins.2024.120940_br0090) 2016; 20
Liu (10.1016/j.ins.2024.120940_br0110) 2018; 22
Zhang (10.1016/j.ins.2024.120940_br0310) 2022; 52
Zheng (10.1016/j.ins.2024.120940_br0020) 2023; 53
Falcón-Cardona (10.1016/j.ins.2024.120940_br0300) 2020; 53
References_xml – volume: 23
  start-page: 541
  year: 2019
  end-page: 555
  ident: br0210
  article-title: Learning from a stream of nonstationary and dependent data in multiobjective evolutionary optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 19
  start-page: 592
  year: 2015
  end-page: 605
  ident: br0420
  article-title: A many-objective evolutionary algorithm with enhanced mating and environmental selections
  publication-title: IEEE Trans. Evol. Comput.
– volume: 13
  start-page: 1167
  year: 2009
  end-page: 1189
  ident: br0390
  article-title: Approximating the set of Pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm
  publication-title: IEEE Trans. Evol. Comput.
– volume: 20
  start-page: 52
  year: 2016
  end-page: 64
  ident: br0320
  article-title: Are all the subproblems equally important? Resource allocation in decomposition-based multiobjective evolutionary algorithms
  publication-title: IEEE Trans. Evol. Comput.
– volume: 610
  start-page: 1163
  year: 2022
  end-page: 1186
  ident: br0130
  article-title: Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition
  publication-title: Inf. Sci.
– volume: 578
  start-page: 930
  year: 2021
  end-page: 949
  ident: br0180
  article-title: Evolutionary multi and many-objective optimization via clustering for environmental selection
  publication-title: Inf. Sci.
– volume: 20
  start-page: 645
  year: 2016
  end-page: 665
  ident: br0280
  article-title: Pareto or non-Pareto: bi-criterion evolution in multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– start-page: 1
  year: 2023
  end-page: 21
  ident: br0140
  article-title: A survey on learnable evolutionary algorithms for scalable multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 6
  start-page: 182
  year: 2002
  end-page: 197
  ident: br0030
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Trans. Evol. Comput.
– volume: 23
  start-page: 748
  year: 2019
  end-page: 761
  ident: br0450
  article-title: A new two-stage evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 18
  start-page: 450
  year: 2014
  end-page: 455
  ident: br0080
  article-title: Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems
  publication-title: IEEE Trans. Evol. Comput.
– volume: 53
  start-page: 623
  year: 2023
  end-page: 634
  ident: br0230
  article-title: Local model-based Pareto front estimation for multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– start-page: 1
  year: 2023
  end-page: 15
  ident: br0350
  article-title: Regularity evolution for multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 11
  start-page: 712
  year: 2007
  end-page: 731
  ident: br0060
  article-title: MOEA/D: a multiobjective evolutionary algorithm based on decomposition
  publication-title: IEEE Trans. Evol. Comput.
– volume: 19
  start-page: 838
  year: 2015
  end-page: 856
  ident: br0360
  article-title: A multiobjective evolutionary algorithm using Gaussian process-based inverse modeling
  publication-title: IEEE Trans. Evol. Comput.
– volume: 23
  start-page: 173
  year: 2019
  end-page: 187
  ident: br0430
  article-title: IGD indicator-based evolutionary algorithm for many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
– volume: 96
  start-page: 120
  year: 2016
  end-page: 133
  ident: br0260
  article-title: SCA: a sine cosine algorithm for solving optimization problems
  publication-title: Knowl.-Based Syst.
– volume: 21
  start-page: 440
  year: 2017
  end-page: 462
  ident: br0070
  article-title: A survey of multiobjective evolutionary algorithms based on decomposition
  publication-title: IEEE Trans. Evol. Comput.
– volume: 20
  start-page: 16
  year: 2016
  end-page: 37
  ident: br0410
  article-title: A new dominance relation-based evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 51
  start-page: 5880
  year: 2021
  end-page: 5894
  ident: br0340
  article-title: A multistage evolutionary algorithm for better diversity preservation in multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– volume: 427
  start-page: 63
  year: 2018
  end-page: 76
  ident: br0330
  article-title: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
  publication-title: Inf. Sci.
– volume: 12
  start-page: 41
  year: 2008
  end-page: 63
  ident: br0250
  article-title: RM-MEDA: a regularity model based multiobjective estimation of distribution algorithm
  publication-title: IEEE Trans. Evol. Comput.
– volume: 50
  start-page: 1106
  year: 2020
  end-page: 1119
  ident: br0400
  article-title: Guiding evolutionary multiobjective optimization with generic front modeling
  publication-title: IEEE Trans. Cybern.
– volume: 50
  start-page: 4997
  year: 2020
  end-page: 5009
  ident: br0490
  article-title: Multiobjective optimization and local merge for clustering attributed graphs
  publication-title: IEEE Trans. Cybern.
– volume: 37
  year: 2020
  ident: br0480
  article-title: Community detection in node-attributed social networks: a survey
  publication-title: Comput. Sci. Rev.
– volume: 22
  start-page: 433
  year: 2018
  end-page: 448
  ident: br0110
  article-title: Adaptively allocating search effort in challenging many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
– volume: 44
  start-page: 304
  year: 2019
  end-page: 319
  ident: br0150
  article-title: A new learning-based adaptive multi-objective evolutionary algorithm
  publication-title: Swarm Evol. Comput.
– volume: 20
  start-page: 773
  year: 2016
  end-page: 791
  ident: br0090
  article-title: A reference vector guided evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 53
  start-page: 5469
  year: 2023
  end-page: 5482
  ident: br0020
  article-title: Continuous encoding for overlapping community detection in attributed network
  publication-title: IEEE Trans. Cybern.
– start-page: 832
  year: 2004
  end-page: 842
  ident: br0290
  article-title: Indicator-based selection in multiobjective search
  publication-title: International Conference on Parallel Problem Solving from Nature
– volume: 23
  start-page: 572
  year: 2019
  end-page: 586
  ident: br0240
  article-title: A many-objective evolutionary algorithm with two interacting processes: cascade clustering and reference point incremental learning
  publication-title: IEEE Trans. Evol. Comput.
– volume: 12
  start-page: 73
  year: 2017
  end-page: 87
  ident: br0470
  article-title: PlatEMO: a Matlab platform for evolutionary multi-objective optimization [educational forum]
  publication-title: IEEE Comput. Intell. Mag.
– volume: 51
  start-page: 1507
  year: 2021
  end-page: 1522
  ident: br0100
  article-title: An adaptive resource allocation strategy for objective space partition-based multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– volume: 49
  start-page: 2416
  year: 2019
  end-page: 2423
  ident: br0120
  article-title: A collaborative resource allocation strategy for decomposition-based multiobjective evolutionary algorithms
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– volume: 18
  start-page: 577
  year: 2014
  end-page: 601
  ident: br0040
  article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints
  publication-title: IEEE Trans. Evol. Comput.
– volume: 23
  start-page: 391
  year: 2019
  end-page: 405
  ident: br0170
  article-title: A clustering-based evolutionary algorithm for many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
– volume: 24
  start-page: 439
  year: 2020
  end-page: 453
  ident: br0380
  article-title: Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts
  publication-title: IEEE Trans. Evol. Comput.
– volume: 53
  year: 2020
  ident: br0300
  article-title: Indicator-based multi-objective evolutionary algorithms: a comprehensive survey
  publication-title: ACM Comput. Surv.
– volume: 20
  start-page: 145
  year: 2016
  end-page: 160
  ident: br0460
  article-title: Many-objective evolutionary algorithm: objective space reduction and diversity improvement
  publication-title: IEEE Trans. Evol. Comput.
– volume: 19
  start-page: 201
  year: 2015
  end-page: 213
  ident: br0270
  article-title: An efficient approach to nondominated sorting for evolutionary multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 52
  start-page: 7791
  year: 2022
  end-page: 7804
  ident: br0010
  article-title: Graph neural network encoding for community detection in attribute networks
  publication-title: IEEE Trans. Cybern.
– volume: 52
  start-page: 9770
  year: 2022
  end-page: 9783
  ident: br0310
  article-title: Resetting weight vectors in MOEA/D for multiobjective optimization problems with discontinuous Pareto front
  publication-title: IEEE Trans. Cybern.
– volume: 49
  start-page: 2758
  year: 2019
  end-page: 2770
  ident: br0200
  article-title: A clustering-based adaptive evolutionary algorithm for multiobjective optimization with irregular Pareto fronts
  publication-title: IEEE Trans. Cybern.
– volume: 48
  start-page: 1191
  year: 2018
  end-page: 1210
  ident: br0050
  article-title: A new decomposition-based NSGA-II for many-objective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– volume: 537
  start-page: 261
  year: 2020
  end-page: 283
  ident: br0190
  article-title: An adaptive clustering-based evolutionary algorithm for many-objective optimization problems
  publication-title: Inf. Sci.
– volume: 509
  start-page: 343
  year: 2020
  end-page: 355
  ident: br0220
  article-title: Objective extraction via fuzzy clustering in evolutionary many-objective optimization
  publication-title: Inf. Sci.
– volume: 22
  start-page: 97
  year: 2018
  end-page: 112
  ident: br0160
  article-title: A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 465
  start-page: 388
  year: 2018
  end-page: 403
  ident: br0370
  article-title: Preselection via classification: a case study on evolutionary multiobjective optimization
  publication-title: Inf. Sci.
– volume: 25
  start-page: 75
  year: 2021
  end-page: 86
  ident: br0440
  article-title: Investigating the properties of indicators and an evolutionary many-objective algorithm using promising regions
  publication-title: IEEE Trans. Evol. Comput.
– volume: 25
  start-page: 75
  year: 2021
  ident: 10.1016/j.ins.2024.120940_br0440
  article-title: Investigating the properties of indicators and an evolutionary many-objective algorithm using promising regions
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2020.2999100
– volume: 20
  start-page: 16
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0410
  article-title: A new dominance relation-based evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2420112
– volume: 51
  start-page: 1507
  year: 2021
  ident: 10.1016/j.ins.2024.120940_br0100
  article-title: An adaptive resource allocation strategy for objective space partition-based multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
– volume: 13
  start-page: 1167
  year: 2009
  ident: 10.1016/j.ins.2024.120940_br0390
  article-title: Approximating the set of Pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2009.2021467
– volume: 49
  start-page: 2758
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0200
  article-title: A clustering-based adaptive evolutionary algorithm for multiobjective optimization with irregular Pareto fronts
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2018.2834466
– start-page: 832
  year: 2004
  ident: 10.1016/j.ins.2024.120940_br0290
  article-title: Indicator-based selection in multiobjective search
– volume: 51
  start-page: 5880
  year: 2021
  ident: 10.1016/j.ins.2024.120940_br0340
  article-title: A multistage evolutionary algorithm for better diversity preservation in multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
  doi: 10.1109/TSMC.2019.2956288
– volume: 537
  start-page: 261
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0190
  article-title: An adaptive clustering-based evolutionary algorithm for many-objective optimization problems
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2020.03.104
– volume: 19
  start-page: 592
  year: 2015
  ident: 10.1016/j.ins.2024.120940_br0420
  article-title: A many-objective evolutionary algorithm with enhanced mating and environmental selections
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2424921
– volume: 23
  start-page: 541
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0210
  article-title: Learning from a stream of nonstationary and dependent data in multiobjective evolutionary optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2018.2865495
– volume: 53
  start-page: 623
  year: 2023
  ident: 10.1016/j.ins.2024.120940_br0230
  article-title: Local model-based Pareto front estimation for multiobjective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
  doi: 10.1109/TSMC.2022.3186546
– volume: 18
  start-page: 450
  year: 2014
  ident: 10.1016/j.ins.2024.120940_br0080
  article-title: Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2013.2281533
– start-page: 1
  year: 2023
  ident: 10.1016/j.ins.2024.120940_br0140
  article-title: A survey on learnable evolutionary algorithms for scalable multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 22
  start-page: 433
  year: 2018
  ident: 10.1016/j.ins.2024.120940_br0110
  article-title: Adaptively allocating search effort in challenging many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2017.2725902
– volume: 23
  start-page: 391
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0170
  article-title: A clustering-based evolutionary algorithm for many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2018.2866927
– volume: 20
  start-page: 645
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0280
  article-title: Pareto or non-Pareto: bi-criterion evolution in multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2504730
– volume: 20
  start-page: 52
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0320
  article-title: Are all the subproblems equally important? Resource allocation in decomposition-based multiobjective evolutionary algorithms
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2424251
– volume: 610
  start-page: 1163
  year: 2022
  ident: 10.1016/j.ins.2024.120940_br0130
  article-title: Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2022.08.030
– volume: 22
  start-page: 97
  year: 2018
  ident: 10.1016/j.ins.2024.120940_br0160
  article-title: A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2016.2600642
– volume: 50
  start-page: 1106
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0400
  article-title: Guiding evolutionary multiobjective optimization with generic front modeling
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2018.2883914
– volume: 465
  start-page: 388
  year: 2018
  ident: 10.1016/j.ins.2024.120940_br0370
  article-title: Preselection via classification: a case study on evolutionary multiobjective optimization
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2018.06.073
– volume: 48
  start-page: 1191
  year: 2018
  ident: 10.1016/j.ins.2024.120940_br0050
  article-title: A new decomposition-based NSGA-II for many-objective optimization
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
  doi: 10.1109/TSMC.2017.2654301
– volume: 21
  start-page: 440
  year: 2017
  ident: 10.1016/j.ins.2024.120940_br0070
  article-title: A survey of multiobjective evolutionary algorithms based on decomposition
  publication-title: IEEE Trans. Evol. Comput.
– volume: 23
  start-page: 748
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0450
  article-title: A new two-stage evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2018.2882166
– volume: 53
  start-page: 5469
  year: 2023
  ident: 10.1016/j.ins.2024.120940_br0020
  article-title: Continuous encoding for overlapping community detection in attributed network
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2022.3155646
– volume: 23
  start-page: 572
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0240
  article-title: A many-objective evolutionary algorithm with two interacting processes: cascade clustering and reference point incremental learning
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2018.2874465
– volume: 24
  start-page: 439
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0380
  article-title: Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts
  publication-title: IEEE Trans. Evol. Comput.
– volume: 12
  start-page: 41
  year: 2008
  ident: 10.1016/j.ins.2024.120940_br0250
  article-title: RM-MEDA: a regularity model based multiobjective estimation of distribution algorithm
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2007.894202
– volume: 12
  start-page: 73
  year: 2017
  ident: 10.1016/j.ins.2024.120940_br0470
  article-title: PlatEMO: a Matlab platform for evolutionary multi-objective optimization [educational forum]
  publication-title: IEEE Comput. Intell. Mag.
  doi: 10.1109/MCI.2017.2742868
– volume: 6
  start-page: 182
  year: 2002
  ident: 10.1016/j.ins.2024.120940_br0030
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/4235.996017
– volume: 19
  start-page: 838
  year: 2015
  ident: 10.1016/j.ins.2024.120940_br0360
  article-title: A multiobjective evolutionary algorithm using Gaussian process-based inverse modeling
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2395073
– volume: 23
  start-page: 173
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0430
  article-title: IGD indicator-based evolutionary algorithm for many-objective optimization problems
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2018.2791283
– volume: 20
  start-page: 773
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0090
  article-title: A reference vector guided evolutionary algorithm for many-objective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2016.2519378
– volume: 578
  start-page: 930
  year: 2021
  ident: 10.1016/j.ins.2024.120940_br0180
  article-title: Evolutionary multi and many-objective optimization via clustering for environmental selection
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2021.08.054
– volume: 427
  start-page: 63
  year: 2018
  ident: 10.1016/j.ins.2024.120940_br0330
  article-title: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2017.10.037
– volume: 18
  start-page: 577
  year: 2014
  ident: 10.1016/j.ins.2024.120940_br0040
  article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2013.2281535
– volume: 49
  start-page: 2416
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0120
  article-title: A collaborative resource allocation strategy for decomposition-based multiobjective evolutionary algorithms
  publication-title: IEEE Trans. Syst. Man Cybern. Syst.
  doi: 10.1109/TSMC.2018.2818175
– volume: 20
  start-page: 145
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0460
  article-title: Many-objective evolutionary algorithm: objective space reduction and diversity improvement
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2433266
– volume: 44
  start-page: 304
  year: 2019
  ident: 10.1016/j.ins.2024.120940_br0150
  article-title: A new learning-based adaptive multi-objective evolutionary algorithm
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2018.04.009
– volume: 50
  start-page: 4997
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0490
  article-title: Multiobjective optimization and local merge for clustering attributed graphs
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2018.2889413
– volume: 509
  start-page: 343
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0220
  article-title: Objective extraction via fuzzy clustering in evolutionary many-objective optimization
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2018.11.032
– volume: 52
  start-page: 9770
  year: 2022
  ident: 10.1016/j.ins.2024.120940_br0310
  article-title: Resetting weight vectors in MOEA/D for multiobjective optimization problems with discontinuous Pareto front
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2021.3062949
– volume: 19
  start-page: 201
  year: 2015
  ident: 10.1016/j.ins.2024.120940_br0270
  article-title: An efficient approach to nondominated sorting for evolutionary multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2014.2308305
– volume: 53
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0300
  article-title: Indicator-based multi-objective evolutionary algorithms: a comprehensive survey
  publication-title: ACM Comput. Surv.
– volume: 37
  year: 2020
  ident: 10.1016/j.ins.2024.120940_br0480
  article-title: Community detection in node-attributed social networks: a survey
  publication-title: Comput. Sci. Rev.
  doi: 10.1016/j.cosrev.2020.100286
– start-page: 1
  year: 2023
  ident: 10.1016/j.ins.2024.120940_br0350
  article-title: Regularity evolution for multiobjective optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 52
  start-page: 7791
  year: 2022
  ident: 10.1016/j.ins.2024.120940_br0010
  article-title: Graph neural network encoding for community detection in attribute networks
  publication-title: IEEE Trans. Cybern.
  doi: 10.1109/TCYB.2021.3051021
– volume: 96
  start-page: 120
  year: 2016
  ident: 10.1016/j.ins.2024.120940_br0260
  article-title: SCA: a sine cosine algorithm for solving optimization problems
  publication-title: Knowl.-Based Syst.
  doi: 10.1016/j.knosys.2015.12.022
– volume: 11
  start-page: 712
  year: 2007
  ident: 10.1016/j.ins.2024.120940_br0060
  article-title: MOEA/D: a multiobjective evolutionary algorithm based on decomposition
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2007.892759
SSID ssj0004766
Score 2.4727232
Snippet The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 120940
SubjectTerms Clustering
Convergence and diversity
Decomposition
Many-objective optimization problem
Multi-objective optimization problem
Title A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization
URI https://dx.doi.org/10.1016/j.ins.2024.120940
Volume 677
WOSCitedRecordID wos001302594000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  issn: 0020-0255
  databaseCode: AIEXJ
  dateStart: 19950101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.sciencedirect.com
  omitProxy: false
  ssIdentifier: ssj0004766
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Nb9MwFLdGx4EdJjZA-2DIB8SBypB5SewcKzQE0zRxGNDtEjmO3bVqk6lrq_Lf8_yRjxaGYBKXqLLiJOrv5_ee7d97Rui1DCLwKzQjEtwjCZlgRADMJNbHmgdJzmK7e_7tnF1c8H4_-eKlQ3f2OAFWFHy5TG7_K9TQBmCb1Nl_gLt-KDTAbwAdrgA7XP8K-F63KBdq3JXjuSmCAK6JGFeVd9XCv9cI5cR4UE6Hs5uJW4kts5GzfF2wMNLkUhmtuRd0WSmiVR7CV03AepDm9hJMzsTncrYDXZ_mZLt7L1tH79c3ylmY72rYrBxY83cFT2_4euUar9WP-UrjwAn-i8Gkcrx-3YKGtWrOL6ZVCTUrek8TvRIzzWkb6Ngd9PKLsXfrDiOYoZi66zR8Z_KAXfGntRraZkvazp6MYpZD0PgIbVIWJbyDNnufT_tnTSotc9vb1XdUG-FWErj2ot-HMq3w5PIp2vbzCtxzfNhBG6rYRVutapO76MjnqOA3uIUO9tb9GVr2sGUOXmcObjMH18zBhjm4pgK2zMErzMHwGmyZ836VN7jNm-fo68fTyw-fiD-Yg0iasBm47kzoIOFUcwHhdBbDcM9DLngoc7NTDlFycgKhfX4ciyyXigYRFZkWIoq04FqfvECdoizUHsIS_IVZJpG5jEOhIVrPuRAyYlqFVCVqHwXVf5xKX7XeHJ4yTit54igFWFIDS-pg2Udv6y63rmTLn24OK-BSPxpcLJkCy-7vdvCwbofoSTMUXqLObDpXR-ixXMyGd9NXnos_AeG6rGA
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+novel+clustering-based+evolutionary+algorithm+with+objective+space+decomposition+for+multi%2Fmany-objective+optimization&rft.jtitle=Information+sciences&rft.au=Zheng%2C+Wei&rft.au=Tan%2C+Yanyan&rft.au=Yan%2C+Zeyuan&rft.au=Yang%2C+Mingming&rft.date=2024-08-01&rft.pub=Elsevier+Inc&rft.issn=0020-0255&rft.volume=677&rft_id=info:doi/10.1016%2Fj.ins.2024.120940&rft.externalDocID=S0020025524008545
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0020-0255&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0020-0255&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0020-0255&client=summon