A space sampling based large-scale many-objective evolutionary algorithm
Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically, large-scale multiobjective problems involve hundreds or thousands of decision variables. Due to the large decision space, the performance of tr...
Saved in:
| Published in: | Information sciences Vol. 679; p. 121077 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Inc
01.09.2024
|
| Subjects: | |
| ISSN: | 0020-0255, 1872-6291 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically, large-scale multiobjective problems involve hundreds or thousands of decision variables. Due to the large decision space, the performance of traditional multiobjective evolutionary algorithms decreases dramatically when dealing with large-scale multiobjective problems, especially many-objective problems. With this in mind, a space sampling based large-scale many-objective evolutionary algorithm (LSMaOEA) is proposed in this article. Specifically, a space sampling method is developed that alternately performs upper/lower-linkage sampling and individual-linkage sampling to sample a set of individuals in the decision space. An environmental selection strategy based on nondominated sorting and reference vector association is proposed. Thus, the proposed LSMaOEA can alleviate excessively dense sampling at boundaries and improve the diversity of existing space sampling based algorithms for large-scale many-objective problems. In the experiments, the proposed algorithm is assessed by comparing it with eight state-of-the-art multi/many-objective evolutionary algorithms. The evaluation is conducted using two popular indicators across nine challenging multiobjective optimization benchmark problems with up to 2000 decision variables. The extensive experimental results consistently reveal that the proposed algorithm outperforms all the compared algorithms.
•A space sampling based algorithm for large-scale many-objective optimization problems is developed.•An individual-linkage sampling strategy for sampling in the large-scale decision space is introduced.•An environmental selection strategy based on nondominated sorting and reference vector association is introduced. |
|---|---|
| AbstractList | Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically, large-scale multiobjective problems involve hundreds or thousands of decision variables. Due to the large decision space, the performance of traditional multiobjective evolutionary algorithms decreases dramatically when dealing with large-scale multiobjective problems, especially many-objective problems. With this in mind, a space sampling based large-scale many-objective evolutionary algorithm (LSMaOEA) is proposed in this article. Specifically, a space sampling method is developed that alternately performs upper/lower-linkage sampling and individual-linkage sampling to sample a set of individuals in the decision space. An environmental selection strategy based on nondominated sorting and reference vector association is proposed. Thus, the proposed LSMaOEA can alleviate excessively dense sampling at boundaries and improve the diversity of existing space sampling based algorithms for large-scale many-objective problems. In the experiments, the proposed algorithm is assessed by comparing it with eight state-of-the-art multi/many-objective evolutionary algorithms. The evaluation is conducted using two popular indicators across nine challenging multiobjective optimization benchmark problems with up to 2000 decision variables. The extensive experimental results consistently reveal that the proposed algorithm outperforms all the compared algorithms.
•A space sampling based algorithm for large-scale many-objective optimization problems is developed.•An individual-linkage sampling strategy for sampling in the large-scale decision space is introduced.•An environmental selection strategy based on nondominated sorting and reference vector association is introduced. |
| ArticleNumber | 121077 |
| Author | Zhang, Chen Ye, Chuanlong Duan, Yansong He, Fazhi Gao, Xiaoxin Bai, Junwei |
| Author_xml | – sequence: 1 givenname: Xiaoxin surname: Gao fullname: Gao, Xiaoxin email: gao.xiaoxin.cn@whu.edu.cn organization: School of Computer Science, Wuhan University, Wuhan 430072, China – sequence: 2 givenname: Fazhi orcidid: 0000-0001-7016-3698 surname: He fullname: He, Fazhi email: fzhe@whu.edu.cn organization: School of Computer Science, Wuhan University, Wuhan 430072, China – sequence: 3 givenname: Yansong orcidid: 0000-0002-8037-7638 surname: Duan fullname: Duan, Yansong email: ysduan@whu.edu.cn organization: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China – sequence: 4 givenname: Chuanlong surname: Ye fullname: Ye, Chuanlong email: chuanlongye@whu.edu.cn organization: School of Computer Science, Wuhan University, Wuhan 430072, China – sequence: 5 givenname: Junwei surname: Bai fullname: Bai, Junwei email: whu_cs_baijw@whu.edu.cn organization: School of Computer Science, Wuhan University, Wuhan 430072, China – sequence: 6 givenname: Chen orcidid: 0000-0003-1919-0652 surname: Zhang fullname: Zhang, Chen email: zhangchen@upc.edu.cn organization: College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, Shandong, China |
| BookMark | eNp9kMtOwzAQRS1UJNrCB7DLDyTMOIntilVVAUWqxAbWlmNPiqM8KjtU6t-TqqxYdHU394zmngWb9UNPjD0iZAgonprM9zHjwIsMOYKUN2yOSvJU8BXO2ByAQwq8LO_YIsYGAAopxJxt10k8GEtJNN2h9f0-qUwkl7Qm7CmN1rSUdKY_pUPVkB39kRI6Du3P6IfehFNi2v0Q_Pjd3bPb2rSRHv5yyb5eXz4323T38fa-We9Sy1dyTFWVi9ooC0SlUVjUSri6cBKwqsCqXFgpXYkGcotC2hyVULWa-rw06FyVL5m83LVhiDFQra0fzfmdMRjfagR9FqIbPQnRZyH6ImQi8R95CL6bRlxlni8MTZOOnoKO1lNvyfkw6dBu8FfoX8Nne5w |
| CitedBy_id | crossref_primary_10_1016_j_swevo_2025_102100 crossref_primary_10_1016_j_asoc_2025_113899 crossref_primary_10_1017_S0263574725000529 |
| Cites_doi | 10.1109/TEVC.2019.2896002 10.1109/TEVC.2021.3063606 10.1007/s11053-022-10051-w 10.1016/j.ins.2019.09.065 10.1109/JIOT.2021.3104661 10.1007/s10710-005-6164-x 10.1016/j.asoc.2020.106120 10.1016/j.ins.2018.10.007 10.31181/dmame181221030d 10.1109/TCYB.2019.2906383 10.1109/TEVC.2022.3213006 10.1016/j.swevo.2019.100577 10.1109/TEVC.2022.3144675 10.1016/j.swevo.2023.101235 10.1016/j.swevo.2022.101100 10.1109/TITS.2021.3059455 10.1109/TCYB.2020.3041325 10.1016/j.cagd.2023.102219 10.1016/j.ins.2023.02.062 10.1109/TEVC.2020.2978158 10.1007/s00500-019-03939-y 10.1016/j.asoc.2022.109420 10.1007/s10489-022-03964-9 10.1016/j.ins.2024.120143 10.1016/j.ins.2022.11.019 10.1109/TEVC.2022.3166815 10.3233/ICA-230710 10.1109/MCI.2017.2742868 10.1016/j.swevo.2023.101360 10.1016/j.swevo.2022.101181 10.1016/j.eswa.2023.122370 10.1109/TEVC.2021.3118593 10.1109/TSMC.2020.3003926 10.1016/j.ins.2023.118996 10.31181/dmame0318062022c 10.1109/TCYB.2016.2600577 10.1109/TEVC.2020.3013290 10.1016/j.ins.2023.119003 10.1109/TCYB.2020.3041212 10.1016/j.engappai.2022.105556 10.1016/j.swevo.2019.100626 10.1016/j.ins.2022.09.057 10.31181/dmame04092023m 10.1016/j.ejor.2021.03.068 10.1016/j.swevo.2020.100684 |
| ContentType | Journal Article |
| Copyright | 2024 Elsevier Inc. |
| Copyright_xml | – notice: 2024 Elsevier Inc. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ins.2024.121077 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Library & Information Science |
| EISSN | 1872-6291 |
| ExternalDocumentID | 10_1016_j_ins_2024_121077 S0020025524009915 |
| 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 AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN ABAOU ABBOA ABEFU ABFNM ABJNI ABMAC ABTAH ABUCO ABXDB ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADGUI ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFFNX 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 AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD |
| ID | FETCH-LOGICAL-c297t-8b36fa8c0ee5a814f86df4d701bb0c836c77d51a03c167c31868f88c025a1ddb3 |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001302648400001&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 | Tue Nov 18 21:14:49 EST 2025 Sat Nov 29 02:44:15 EST 2025 Sat Jul 20 16:35:46 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Environmental selection Convergence and diversity Large-scale many-objective evolutionary algorithms Space sampling Reference vector |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c297t-8b36fa8c0ee5a814f86df4d701bb0c836c77d51a03c167c31868f88c025a1ddb3 |
| ORCID | 0000-0002-8037-7638 0000-0003-1919-0652 0000-0001-7016-3698 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_ins_2024_121077 crossref_primary_10_1016_j_ins_2024_121077 elsevier_sciencedirect_doi_10_1016_j_ins_2024_121077 |
| PublicationCentury | 2000 |
| PublicationDate | September 2024 2024-09-00 |
| PublicationDateYYYYMMDD | 2024-09-01 |
| PublicationDate_xml | – month: 09 year: 2024 text: September 2024 |
| PublicationDecade | 2020 |
| PublicationTitle | Information sciences |
| PublicationYear | 2024 |
| Publisher | Elsevier Inc |
| Publisher_xml | – name: Elsevier Inc |
| References | Coello Coello, Cruz Cortés (br0440) 2005; 6 Bandaru, Tulshyan, Deb (br0360) 2011 Yang, Zhou, Li, Guan, Yan (br0050) 2020; 512 Long, Cai, Jiao, Tang (br0090) 2020; 24 Liu, Han, Ling, Han, Jiang (br0410) 2023; 83 Gu, Huang, Wang, Li, Liu (br0470) 2023; 639 Kalyanmoy, Jain (br0460) 2013; 18 Cheng, Jin, Olhofer (br0430) 2016; 47 Yang, Zou, Yang, Zheng, Liu (br0190) 2023; 27 Ma, Yu, Li, Qi, Zhu (br0480) 2020; 24 Tian, Si, Zhang, Cheng, He, Tan, Jin (br0040) 2021; 54 Abbaszadeh Shahri, Shan, Larsson (br0500) 2022; 31 Deng, Kang, Zhang, Zhou, An (br0070) 2022; 27 Xue, Cai, Neri (br0110) 2022; 127 Li, Wang, Xiao (br0320) 2022; 615 Gu, Zhou, Wang, Xiong (br0010) 2023; 638 Qi, Zou, Yang, Zheng (br0260) 2022; 73 Liu, Ren, Liu, Liu (br0150) 2020; 89 Liagkouras, Metaxiotis (br0370) 2013 Mzili, Mzili, Riffi (br0240) 2023; 6 He, Li, Tian, Zhang, Cheng, Jin, Yao (br0280) 2019; 23 Liu, Pei, Liu, Tian (br0420) 2023; 83 Ye, He, Luo, Tong, Gao, Si, Fan (br0120) 2023; 61 Zou, Liu, Zou, Yang, Zheng (br0080) 2023; 631 García-Torres, Ruiz, Divina (br0170) 2023; 117 Qin, Sun, Jin, Tan, Fieldsend (br0290) 2021; 25 Li, Li, Tang, Lin, Ming, Leung (br0140) 2023; 82 Cao, Fan, Zhao, Tian, Zheng, Yan, Yang (br0330) 2021; 22 Li, He, Fan, Song (br0520) 2023; 104 Li, He, Fan, Fan, Yan (br0510) 2023; 30 Huang, Zhou, Ran, Liu, Deng, Deng (br0220) 2023; 619 Shang, Ishibuchi, He, Pang (br0450) 2020; 25 He, Cheng, Yazdani (br0200) 2022; 52 Tian, Feng, Wang, Cao, Zhang, Pei, Tan, Jin (br0350) 2022; 26 He, Cheng, Li, Tan, Jin (br0400) 2024; 28 Aguilar-Justo, Mezura-Montes (br0060) 2019; 51 Das, Roy, Maity, Kar, Sengupta (br0230) 2022; 5 Li, He, Cheng, Li, Pan, Jin (br0310) 2022; 75 Tian, Zheng, Zhang, Jin (br0270) 2020; 50 Ma, Huang, Yang, Wang, Wang (br0100) 2022; 52 Wang, Zhang, Wang (br0180) 2023; 53 Chaki, Bose (br0250) 2022; 5 Cao, Zhao, Gu, Ling, Ma (br0130) 2020; 53 Wu, Yang, Chen, Tian, Tang (br0300) 2024; 239 Liu, Liu, Li, Liu (br0020) 2020; 55 Cao, Zhang, Zhao, Liu, Skonieczny, Lv (br0340) 2022; 9 Tian, Cheng, Zhang, Jin (br0380) 2017; 12 Gu, Li, Wang, Liu (br0030) 2024; 661 Tian, Lu, Zhang, Cheng, Jin (br0160) 2022; 52 Lin, Li, Liu, Ma, Li, Chen (br0210) 2023; 77 Groetzner, Werner (br0490) 2022; 296 Chen, Cheng, Wen, Li, Weng (br0390) 2020; 509 Huang (10.1016/j.ins.2024.121077_br0220) 2023; 619 Li (10.1016/j.ins.2024.121077_br0140) 2023; 82 Bandaru (10.1016/j.ins.2024.121077_br0360) 2011 Li (10.1016/j.ins.2024.121077_br0520) 2023; 104 Xue (10.1016/j.ins.2024.121077_br0110) 2022; 127 Groetzner (10.1016/j.ins.2024.121077_br0490) 2022; 296 Long (10.1016/j.ins.2024.121077_br0090) 2020; 24 Cao (10.1016/j.ins.2024.121077_br0340) 2022; 9 Qin (10.1016/j.ins.2024.121077_br0290) 2021; 25 Tian (10.1016/j.ins.2024.121077_br0040) 2021; 54 Wang (10.1016/j.ins.2024.121077_br0180) 2023; 53 Qi (10.1016/j.ins.2024.121077_br0260) 2022; 73 Li (10.1016/j.ins.2024.121077_br0310) 2022; 75 Kalyanmoy (10.1016/j.ins.2024.121077_br0460) 2013; 18 Yang (10.1016/j.ins.2024.121077_br0050) 2020; 512 He (10.1016/j.ins.2024.121077_br0280) 2019; 23 Ma (10.1016/j.ins.2024.121077_br0100) 2022; 52 He (10.1016/j.ins.2024.121077_br0400) 2024; 28 Shang (10.1016/j.ins.2024.121077_br0450) 2020; 25 Tian (10.1016/j.ins.2024.121077_br0350) 2022; 26 García-Torres (10.1016/j.ins.2024.121077_br0170) 2023; 117 Yang (10.1016/j.ins.2024.121077_br0190) 2023; 27 Ye (10.1016/j.ins.2024.121077_br0120) 2023; 61 Abbaszadeh Shahri (10.1016/j.ins.2024.121077_br0500) 2022; 31 Li (10.1016/j.ins.2024.121077_br0510) 2023; 30 Gu (10.1016/j.ins.2024.121077_br0030) 2024; 661 Tian (10.1016/j.ins.2024.121077_br0380) 2017; 12 Aguilar-Justo (10.1016/j.ins.2024.121077_br0060) 2019; 51 Chaki (10.1016/j.ins.2024.121077_br0250) 2022; 5 Ma (10.1016/j.ins.2024.121077_br0480) 2020; 24 Cheng (10.1016/j.ins.2024.121077_br0430) 2016; 47 Lin (10.1016/j.ins.2024.121077_br0210) 2023; 77 Cao (10.1016/j.ins.2024.121077_br0330) 2021; 22 Gu (10.1016/j.ins.2024.121077_br0470) 2023; 639 He (10.1016/j.ins.2024.121077_br0200) 2022; 52 Das (10.1016/j.ins.2024.121077_br0230) 2022; 5 Mzili (10.1016/j.ins.2024.121077_br0240) 2023; 6 Tian (10.1016/j.ins.2024.121077_br0160) 2022; 52 Cao (10.1016/j.ins.2024.121077_br0130) 2020; 53 Tian (10.1016/j.ins.2024.121077_br0270) 2020; 50 Liu (10.1016/j.ins.2024.121077_br0420) 2023; 83 Liu (10.1016/j.ins.2024.121077_br0150) 2020; 89 Gu (10.1016/j.ins.2024.121077_br0010) 2023; 638 Li (10.1016/j.ins.2024.121077_br0320) 2022; 615 Liu (10.1016/j.ins.2024.121077_br0020) 2020; 55 Deng (10.1016/j.ins.2024.121077_br0070) 2022; 27 Zou (10.1016/j.ins.2024.121077_br0080) 2023; 631 Wu (10.1016/j.ins.2024.121077_br0300) 2024; 239 Coello Coello (10.1016/j.ins.2024.121077_br0440) 2005; 6 Liagkouras (10.1016/j.ins.2024.121077_br0370) 2013 Chen (10.1016/j.ins.2024.121077_br0390) 2020; 509 Liu (10.1016/j.ins.2024.121077_br0410) 2023; 83 |
| References_xml | – volume: 75 year: 2022 ident: br0310 article-title: A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization publication-title: Swarm Evol. Comput. – volume: 30 start-page: 327 year: 2023 end-page: 339 ident: br0510 article-title: 3D reconstruction based on hierarchical reinforcement learning with transferability publication-title: Integr. Comput.-Aided Eng. – volume: 47 start-page: 4108 year: 2016 end-page: 4121 ident: br0430 article-title: Test problems for large-scale multiobjective and many-objective optimization publication-title: IEEE Trans. Cybern. – volume: 24 start-page: 634 year: 2020 end-page: 649 ident: br0480 article-title: A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms publication-title: IEEE Trans. Evol. Comput. – volume: 27 start-page: 445 year: 2023 end-page: 459 ident: br0190 article-title: A fuzzy decision variables framework for large-scale multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 22 start-page: 3841 year: 2021 end-page: 3849 ident: br0330 article-title: Large-scale many-objective deployment optimization of edge servers publication-title: IEEE Trans. Intell. Transp. Syst. – volume: 104 year: 2023 ident: br0520 article-title: TPNet: A novel mesh analysis method via topology preservation and perception enhancement publication-title: Comput. Aided Geom. Des. – volume: 127 year: 2022 ident: br0110 article-title: A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification publication-title: Appl. Soft Comput. – volume: 6 start-page: 163 year: 2005 end-page: 190 ident: br0440 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet. Program. Evol. Mach. – volume: 82 year: 2023 ident: br0140 article-title: Redefined decision variable analysis method for large-scale optimization and its application to feature selection publication-title: Swarm Evol. Comput. – volume: 23 start-page: 949 year: 2019 end-page: 961 ident: br0280 article-title: Accelerating large-scale multiobjective optimization via problem reformulation publication-title: IEEE Trans. Evol. Comput. – volume: 83 year: 2023 ident: br0420 article-title: Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization publication-title: Swarm Evol. Comput. – volume: 24 start-page: 997 year: 2020 end-page: 1026 ident: br0090 article-title: An efficient and robust grey wolf optimizer algorithm for large-scale numerical optimization publication-title: Soft Comput. – volume: 9 start-page: 15030 year: 2022 end-page: 15038 ident: br0340 article-title: Recommendation based on large-scale many-objective optimization for the intelligent Internet of Things system publication-title: IEEE Int. Things J. – volume: 296 start-page: 101 year: 2022 end-page: 115 ident: br0490 article-title: Multiobjective optimization under uncertainty: a multiobjective robust (relative) regret approach publication-title: Eur. J. Oper. Res. – volume: 28 start-page: 47 year: 2024 end-page: 61 ident: br0400 article-title: Large-scale multiobjective optimization via reformulated decision variable analysis publication-title: IEEE Trans. Evol. Comput. – volume: 509 start-page: 457 year: 2020 end-page: 469 ident: br0390 article-title: Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations publication-title: Inf. Sci. – volume: 619 start-page: 2 year: 2023 end-page: 18 ident: br0220 article-title: Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem publication-title: Inf. Sci. – volume: 73 year: 2022 ident: br0260 article-title: A level-based multi-strategy learning swarm optimizer for large-scale multi-objective optimization publication-title: Swarm Evol. Comput. – volume: 661 year: 2024 ident: br0030 article-title: A MOEA/D with adaptive weight subspace for regular and irregular multi-objective optimization problems publication-title: Inf. Sci. – volume: 512 start-page: 64 year: 2020 end-page: 79 ident: br0050 article-title: CCFR2: a more efficient cooperative co-evolutionary framework for large-scale global optimization publication-title: Inf. Sci. – volume: 25 start-page: 1 year: 2020 end-page: 20 ident: br0450 article-title: A survey on the hypervolume indicator in evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 5 start-page: 316 year: 2022 end-page: 328 ident: br0250 article-title: Optimisation of spot-welding process using Taguchi based Cuckoo search algorithm publication-title: Decis. Mak. Appl. Manag. Eng. – volume: 31 start-page: 1351 year: 2022 end-page: 1373 ident: br0500 article-title: A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning publication-title: Nat. Resour. Res. – volume: 631 start-page: 449 year: 2023 end-page: 467 ident: br0080 article-title: An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization publication-title: Inf. Sci. – start-page: 1 year: 2013 end-page: 5 ident: br0370 article-title: An elitist polynomial mutation operator for improved performance of MOEAs in computer networks publication-title: 2013 22nd International Conference on Computer Communication and Networks (ICCCN) – start-page: 1335 year: 2011 end-page: 1342 ident: br0360 article-title: Modified sbx and adaptive mutation for real world single objective optimization publication-title: 2011 IEEE Congress of Evolutionary Computation (CEC) – volume: 615 start-page: 323 year: 2022 end-page: 347 ident: br0320 article-title: A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization publication-title: Inf. Sci. – volume: 89 year: 2020 ident: br0150 article-title: A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems publication-title: Appl. Soft Comput. – volume: 52 start-page: 786 year: 2022 end-page: 798 ident: br0200 article-title: Adaptive offspring generation for evolutionary large-scale multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern. Syst. – volume: 239 year: 2024 ident: br0300 article-title: Directed quick search guided evolutionary framework for large-scale multi-objective optimization problems publication-title: Expert Syst. Appl. – volume: 83 year: 2023 ident: br0410 article-title: A many-objective optimization evolutionary algorithm based on hyper-dominance degree publication-title: Swarm Evol. Comput. – volume: 6 start-page: 730 year: 2023 end-page: 743 ident: br0240 article-title: Efficient routing optimization with discrete penguins search algorithm for MTSP publication-title: Decis. Mak. Appl. Manag. Eng. – volume: 117 year: 2023 ident: br0170 article-title: Evolutionary feature selection on high dimensional data using a search space reduction approach publication-title: Eng. Appl. Artif. Intell. – volume: 52 start-page: 6684 year: 2022 end-page: 6696 ident: br0100 article-title: An adaptive localized decision variable analysis approach to large-scale multiobjective and many-objective optimization publication-title: IEEE Trans. Cybern. – volume: 61 start-page: 1 year: 2023 end-page: 15 ident: br0120 article-title: A multistrategy evolutionary multiobjective optimization method for hyperspectral endmember extraction publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 12 start-page: 73 year: 2017 end-page: 87 ident: br0380 article-title: PlatEMO: a MATLAB platform for evolutionary multi-objective optimization [educational forum] publication-title: IEEE Comput. Intell. Mag. – volume: 54 start-page: 1 year: 2021 end-page: 34 ident: br0040 article-title: Evolutionary large-scale multi-objective optimization: a survey publication-title: ACM Comput. Surv. – volume: 27 start-page: 326 year: 2022 end-page: 340 ident: br0070 article-title: Objective space-based population generation to accelerate evolutionary algorithms for large-scale many-objective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 52 start-page: 6784 year: 2022 end-page: 6797 ident: br0160 article-title: A pattern mining-based evolutionary algorithm for large-scale sparse multiobjective optimization problems publication-title: IEEE Trans. Cybern. – volume: 50 start-page: 3696 year: 2020 end-page: 3708 ident: br0270 article-title: Efficient large-scale multiobjective optimization based on a competitive swarm optimizer publication-title: IEEE Trans. Cybern. – volume: 25 start-page: 724 year: 2021 end-page: 738 ident: br0290 article-title: Large-scale evolutionary multiobjective optimization assisted by directed sampling publication-title: IEEE Trans. Evol. Comput. – volume: 55 year: 2020 ident: br0020 article-title: A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems publication-title: Swarm Evol. Comput. – volume: 53 start-page: 11439 year: 2023 end-page: 11473 ident: br0180 article-title: Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization publication-title: Appl. Intell. – volume: 53 year: 2020 ident: br0130 article-title: Applying graph-based differential grouping for multiobjective large-scale optimization publication-title: Swarm Evol. Comput. – volume: 639 year: 2023 ident: br0470 article-title: A chaotic differential evolution and symmetric direction sampling for large-scale multiobjective optimization publication-title: Inf. Sci. – volume: 77 year: 2023 ident: br0210 article-title: An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization publication-title: Swarm Evol. Comput. – volume: 5 start-page: 329 year: 2022 end-page: 361 ident: br0230 article-title: Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm publication-title: Decis. Mak. Appl. Manag. Eng. – volume: 638 year: 2023 ident: br0010 article-title: An indicator preselection based evolutionary algorithm with auxiliary angle selection for many-objective optimization publication-title: Inf. Sci. – volume: 18 start-page: 577 year: 2013 end-page: 601 ident: br0460 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: 51 year: 2019 ident: br0060 article-title: A local cooperative approach to solve large-scale constrained optimization problems publication-title: Swarm Evol. Comput. – volume: 26 start-page: 1511 year: 2022 end-page: 1525 ident: br0350 article-title: A large-scale combinatorial many-objective evolutionary algorithm for intensity-modulated radiotherapy planning publication-title: IEEE Trans. Evol. Comput. – volume: 23 start-page: 949 issue: 6 year: 2019 ident: 10.1016/j.ins.2024.121077_br0280 article-title: Accelerating large-scale multiobjective optimization via problem reformulation publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2019.2896002 – volume: 25 start-page: 724 issue: 4 year: 2021 ident: 10.1016/j.ins.2024.121077_br0290 article-title: Large-scale evolutionary multiobjective optimization assisted by directed sampling publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2021.3063606 – volume: 31 start-page: 1351 issue: 3 year: 2022 ident: 10.1016/j.ins.2024.121077_br0500 article-title: A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning publication-title: Nat. Resour. Res. doi: 10.1007/s11053-022-10051-w – volume: 512 start-page: 64 year: 2020 ident: 10.1016/j.ins.2024.121077_br0050 article-title: CCFR2: a more efficient cooperative co-evolutionary framework for large-scale global optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2019.09.065 – volume: 9 start-page: 15030 issue: 16 year: 2022 ident: 10.1016/j.ins.2024.121077_br0340 article-title: Recommendation based on large-scale many-objective optimization for the intelligent Internet of Things system publication-title: IEEE Int. Things J. doi: 10.1109/JIOT.2021.3104661 – volume: 6 start-page: 163 year: 2005 ident: 10.1016/j.ins.2024.121077_br0440 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet. Program. Evol. Mach. doi: 10.1007/s10710-005-6164-x – volume: 89 year: 2020 ident: 10.1016/j.ins.2024.121077_br0150 article-title: A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2020.106120 – volume: 509 start-page: 457 year: 2020 ident: 10.1016/j.ins.2024.121077_br0390 article-title: Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations publication-title: Inf. Sci. doi: 10.1016/j.ins.2018.10.007 – volume: 5 start-page: 329 issue: 2 year: 2022 ident: 10.1016/j.ins.2024.121077_br0230 article-title: Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm publication-title: Decis. Mak. Appl. Manag. Eng. doi: 10.31181/dmame181221030d – start-page: 1 year: 2013 ident: 10.1016/j.ins.2024.121077_br0370 article-title: An elitist polynomial mutation operator for improved performance of MOEAs in computer networks – volume: 50 start-page: 3696 issue: 8 year: 2020 ident: 10.1016/j.ins.2024.121077_br0270 article-title: Efficient large-scale multiobjective optimization based on a competitive swarm optimizer publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2019.2906383 – volume: 28 start-page: 47 issue: 1 year: 2024 ident: 10.1016/j.ins.2024.121077_br0400 article-title: Large-scale multiobjective optimization via reformulated decision variable analysis publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3213006 – volume: 51 year: 2019 ident: 10.1016/j.ins.2024.121077_br0060 article-title: A local cooperative approach to solve large-scale constrained optimization problems publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2019.100577 – volume: 26 start-page: 1511 issue: 6 year: 2022 ident: 10.1016/j.ins.2024.121077_br0350 article-title: A large-scale combinatorial many-objective evolutionary algorithm for intensity-modulated radiotherapy planning publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3144675 – volume: 77 year: 2023 ident: 10.1016/j.ins.2024.121077_br0210 article-title: An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2023.101235 – volume: 73 year: 2022 ident: 10.1016/j.ins.2024.121077_br0260 article-title: A level-based multi-strategy learning swarm optimizer for large-scale multi-objective optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2022.101100 – volume: 22 start-page: 3841 issue: 6 year: 2021 ident: 10.1016/j.ins.2024.121077_br0330 article-title: Large-scale many-objective deployment optimization of edge servers publication-title: IEEE Trans. Intell. Transp. Syst. doi: 10.1109/TITS.2021.3059455 – volume: 52 start-page: 6784 issue: 7 year: 2022 ident: 10.1016/j.ins.2024.121077_br0160 article-title: A pattern mining-based evolutionary algorithm for large-scale sparse multiobjective optimization problems publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2020.3041325 – volume: 104 year: 2023 ident: 10.1016/j.ins.2024.121077_br0520 article-title: TPNet: A novel mesh analysis method via topology preservation and perception enhancement publication-title: Comput. Aided Geom. Des. doi: 10.1016/j.cagd.2023.102219 – volume: 631 start-page: 449 year: 2023 ident: 10.1016/j.ins.2024.121077_br0080 article-title: An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2023.02.062 – volume: 24 start-page: 634 issue: 4 year: 2020 ident: 10.1016/j.ins.2024.121077_br0480 article-title: A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2020.2978158 – volume: 83 year: 2023 ident: 10.1016/j.ins.2024.121077_br0410 article-title: A many-objective optimization evolutionary algorithm based on hyper-dominance degree publication-title: Swarm Evol. Comput. – volume: 24 start-page: 997 issue: 2 year: 2020 ident: 10.1016/j.ins.2024.121077_br0090 article-title: An efficient and robust grey wolf optimizer algorithm for large-scale numerical optimization publication-title: Soft Comput. doi: 10.1007/s00500-019-03939-y – volume: 127 year: 2022 ident: 10.1016/j.ins.2024.121077_br0110 article-title: A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.109420 – volume: 61 start-page: 1 year: 2023 ident: 10.1016/j.ins.2024.121077_br0120 article-title: A multistrategy evolutionary multiobjective optimization method for hyperspectral endmember extraction publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 53 start-page: 11439 issue: 10 year: 2023 ident: 10.1016/j.ins.2024.121077_br0180 article-title: Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization publication-title: Appl. Intell. doi: 10.1007/s10489-022-03964-9 – volume: 661 year: 2024 ident: 10.1016/j.ins.2024.121077_br0030 article-title: A MOEA/D with adaptive weight subspace for regular and irregular multi-objective optimization problems publication-title: Inf. Sci. doi: 10.1016/j.ins.2024.120143 – volume: 619 start-page: 2 year: 2023 ident: 10.1016/j.ins.2024.121077_br0220 article-title: Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem publication-title: Inf. Sci. doi: 10.1016/j.ins.2022.11.019 – volume: 27 start-page: 326 issue: 2 year: 2022 ident: 10.1016/j.ins.2024.121077_br0070 article-title: Objective space-based population generation to accelerate evolutionary algorithms for large-scale many-objective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3166815 – volume: 18 start-page: 577 issue: 4 year: 2013 ident: 10.1016/j.ins.2024.121077_br0460 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: 30 start-page: 327 issue: 4 year: 2023 ident: 10.1016/j.ins.2024.121077_br0510 article-title: 3D reconstruction based on hierarchical reinforcement learning with transferability publication-title: Integr. Comput.-Aided Eng. doi: 10.3233/ICA-230710 – volume: 12 start-page: 73 issue: 4 year: 2017 ident: 10.1016/j.ins.2024.121077_br0380 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: 82 year: 2023 ident: 10.1016/j.ins.2024.121077_br0140 article-title: Redefined decision variable analysis method for large-scale optimization and its application to feature selection publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2023.101360 – volume: 75 year: 2022 ident: 10.1016/j.ins.2024.121077_br0310 article-title: A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2022.101181 – volume: 239 year: 2024 ident: 10.1016/j.ins.2024.121077_br0300 article-title: Directed quick search guided evolutionary framework for large-scale multi-objective optimization problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2023.122370 – volume: 83 year: 2023 ident: 10.1016/j.ins.2024.121077_br0420 article-title: Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization publication-title: Swarm Evol. Comput. – volume: 27 start-page: 445 issue: 3 year: 2023 ident: 10.1016/j.ins.2024.121077_br0190 article-title: A fuzzy decision variables framework for large-scale multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2021.3118593 – volume: 52 start-page: 786 issue: 2 year: 2022 ident: 10.1016/j.ins.2024.121077_br0200 article-title: Adaptive offspring generation for evolutionary large-scale multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2020.3003926 – volume: 638 year: 2023 ident: 10.1016/j.ins.2024.121077_br0010 article-title: An indicator preselection based evolutionary algorithm with auxiliary angle selection for many-objective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2023.118996 – volume: 5 start-page: 316 issue: 2 year: 2022 ident: 10.1016/j.ins.2024.121077_br0250 article-title: Optimisation of spot-welding process using Taguchi based Cuckoo search algorithm publication-title: Decis. Mak. Appl. Manag. Eng. doi: 10.31181/dmame0318062022c – volume: 47 start-page: 4108 issue: 12 year: 2016 ident: 10.1016/j.ins.2024.121077_br0430 article-title: Test problems for large-scale multiobjective and many-objective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2016.2600577 – volume: 25 start-page: 1 issue: 1 year: 2020 ident: 10.1016/j.ins.2024.121077_br0450 article-title: A survey on the hypervolume indicator in evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2020.3013290 – volume: 639 year: 2023 ident: 10.1016/j.ins.2024.121077_br0470 article-title: A chaotic differential evolution and symmetric direction sampling for large-scale multiobjective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2023.119003 – volume: 52 start-page: 6684 issue: 7 year: 2022 ident: 10.1016/j.ins.2024.121077_br0100 article-title: An adaptive localized decision variable analysis approach to large-scale multiobjective and many-objective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2020.3041212 – start-page: 1335 year: 2011 ident: 10.1016/j.ins.2024.121077_br0360 article-title: Modified sbx and adaptive mutation for real world single objective optimization – volume: 117 year: 2023 ident: 10.1016/j.ins.2024.121077_br0170 article-title: Evolutionary feature selection on high dimensional data using a search space reduction approach publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2022.105556 – volume: 54 start-page: 1 issue: 8 year: 2021 ident: 10.1016/j.ins.2024.121077_br0040 article-title: Evolutionary large-scale multi-objective optimization: a survey publication-title: ACM Comput. Surv. – volume: 53 year: 2020 ident: 10.1016/j.ins.2024.121077_br0130 article-title: Applying graph-based differential grouping for multiobjective large-scale optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2019.100626 – volume: 615 start-page: 323 year: 2022 ident: 10.1016/j.ins.2024.121077_br0320 article-title: A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2022.09.057 – volume: 6 start-page: 730 issue: 1 year: 2023 ident: 10.1016/j.ins.2024.121077_br0240 article-title: Efficient routing optimization with discrete penguins search algorithm for MTSP publication-title: Decis. Mak. Appl. Manag. Eng. doi: 10.31181/dmame04092023m – volume: 296 start-page: 101 issue: 1 year: 2022 ident: 10.1016/j.ins.2024.121077_br0490 article-title: Multiobjective optimization under uncertainty: a multiobjective robust (relative) regret approach publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2021.03.068 – volume: 55 year: 2020 ident: 10.1016/j.ins.2024.121077_br0020 article-title: A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2020.100684 |
| SSID | ssj0004766 |
| Score | 2.4597847 |
| Snippet | Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically,... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 121077 |
| SubjectTerms | Convergence and diversity Environmental selection Large-scale many-objective evolutionary algorithms Reference vector Space sampling |
| Title | A space sampling based large-scale many-objective evolutionary algorithm |
| URI | https://dx.doi.org/10.1016/j.ins.2024.121077 |
| Volume | 679 |
| WOSCitedRecordID | wos001302648400001&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 customDbUrl: eissn: 1872-6291 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004766 issn: 0020-0255 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NT9swFLdY2WE7oME2jW0gH9AOqzzZSRo7xwqxFYTQDkzqTpHtOCVVSVHboW5__Z5j5wMYCA67RJXruFZ_Pz2_9_w-EDrg9upGqIQomVvXDZVEmYgRHSZaGRnQJKtK5p_yszMxHifffRD7smonwMtSrNfJ1X-FGsYAbJs6-wS4m0VhAD4D6PAE2OH5KOCHfRAStnCstMHi5aRvD6qsP7Mh32QJkFQhq7_JXE2dsOuba78hG0EnZ5P5olhdXHbVVp-0VHHFn5mNLv5NVt7WcSHn66Kh2siFDcs_F0WrKztn609pE84mrbfWXfvDt7N62LshgqiJs2rTAiixBkpXtMauUYwXjrZWmevZckduOxfCFIwNW0I9iL60c2_WyL51djURhXWw2jSFJVK7ROqWeIY2Az5IRA9tDo-Pxidt0ix3F9n1vusr7yr479Y-_q20dBSR81doy1sQeOiQ30YbptxBLzt1JXfQns9GwZ9wBzns5fhrNBriiiO45giuOII7HME3OYK7HMENR96gH1-Pzg9HxLfUIDpI-IoIFca5FJoaM5CCRbmIszzKOGVKUS3CWHOeDZikoWYx16FtppALmB8MJMsyFb5FvXJemncIxyE1QkcqzgMNVq9IwFbIQX1lhnERa7aLaP2fpdrXm7dtT2bpvVjtos_NK1eu2MpDk6MaiNQz32mBKZDq_tfeP-U3PqAXLdc_ot5q8cvsoef6elUsF_ueUX8BjqSJtA |
| 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+space+sampling+based+large-scale+many-objective+evolutionary+algorithm&rft.jtitle=Information+sciences&rft.au=Gao%2C+Xiaoxin&rft.au=He%2C+Fazhi&rft.au=Duan%2C+Yansong&rft.au=Ye%2C+Chuanlong&rft.date=2024-09-01&rft.issn=0020-0255&rft.volume=679&rft.spage=121077&rft_id=info:doi/10.1016%2Fj.ins.2024.121077&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ins_2024_121077 |
| 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 |