{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T12:58:01Z","timestamp":1771765081734,"version":"3.50.1"},"reference-count":41,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T00:00:00Z","timestamp":1606694400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51879157"],"award-info":[{"award-number":["51879157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["041030150118"],"award-info":[{"award-number":["041030150118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hangzhou Municipal Government, the Startup Funding of New-Joined PI of Westlake University","award":["51879157"],"award-info":[{"award-number":["51879157"]}]},{"name":"Hangzhou Municipal Government, the Startup Funding of New-Joined PI of Westlake University","award":["041030150118"],"award-info":[{"award-number":["041030150118"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2020,11,30]]},"abstract":"<jats:p>Nature-inspired computing has attracted huge attention since its origin, especially in the field of multiobjective optimization. This paper proposes a disruption-based multiobjective equilibrium optimization algorithm (DMOEOA). A novel mutation operator named layered disruption method is integrated into the proposed algorithm with the aim of enhancing the exploration and exploitation abilities of DMOEOA. To demonstrate the advantages of the proposed algorithm, various benchmarks have been selected with five different multiobjective optimization algorithms. The test results indicate that DMOEOA does exhibit better performances in these problems with a better balance between convergence and distribution. In addition, the new proposed algorithm is applied to the structural optimization of an elastic truss with the other five existing multiobjective optimization algorithms. The obtained results demonstrate that DMOEOA is not only an algorithm with good performance for benchmark problems but is also expected to have a wide application in real-world engineering optimization problems.<\/jats:p>","DOI":"10.1155\/2020\/8846250","type":"journal-article","created":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T15:17:43Z","timestamp":1606835863000},"page":"1-21","source":"Crossref","is-referenced-by-count":11,"title":["Disruption-Based Multiobjective Equilibrium Optimization Algorithm"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5955-3812","authenticated-orcid":true,"given":"Hao","family":"Chen","sequence":"first","affiliation":[{"name":"Zhejiang University\u2014Westlake University Joint Training, Zhejiang University, Hangzhou 310024, China"},{"name":"Key Laboratory of Coastal Environment and Resources Research of Zhejiang Province, Institute of Advanced Technology, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, China"},{"name":"School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5262-5235","authenticated-orcid":true,"given":"Weikun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Environment and Resources Research of Zhejiang Province, Institute of Advanced Technology, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, China"},{"name":"School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1871-2658","authenticated-orcid":true,"given":"Weicheng","family":"Cui","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Environment and Resources Research of Zhejiang Province, Institute of Advanced Technology, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, China"},{"name":"School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","first-page":"1942","article-title":"Particle swarm optimization","author":"J. Kennedy"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/cec.1999.782657"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1023\/a:1015059928466"},{"key":"4","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/0-387-28356-0_5","article-title":"Genetic programming","volume-title":"Search Methodologies","author":"J. R. Koza","year":"2005"},{"key":"5","unstructured":"KarabogaD.An idea based on honeybee swarm for numerical optimization2005Kayseri, TurkeyErciyes UniversityTechnical Report TR06"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/jsns.2009.03.004"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"8","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/978-3-642-32894-7_27","article-title":"Flower pollination algorithm for global optimization","volume-title":"Unconventional Computation and Natural Computation (UCNC 2012)","author":"X. S. Yang","year":"2012"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2016.01.008"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-018-1403-1"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105190"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88908-3_1"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-004-0465-1"},{"key":"15","first-page":"93","article-title":"Multiple objective optimization with vector evaluated genetic algorithms","author":"J. D. Scaffer"},{"key":"16","first-page":"416","article-title":"Genetic algorithms for multiobjective optimization: FormulationDiscussion and generalization","author":"C. M. Fonseca"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/icec.1994.350037"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45356-3_83"},{"key":"20","first-page":"283","article-title":"PESA-II: region-based selection in evolutionary multiobjective optimization","author":"D. W. Corne"},{"key":"21","first-page":"95","article-title":"Improving the strength Pareto evolutionary algorithm for multiobjective optimization","volume-title":"Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems","author":"E. Zitzler","year":"2002"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2007.892759"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2004.826067"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.07.020"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/CICSyN.2010.32"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2012.2227145"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.10.039"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-016-0825-8"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.02.054"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1109\/4235.585893"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1109\/PIICON49524.2020.9113048"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.3139\/120.111509"},{"key":"33","first-page":"1","article-title":"A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems","volume-title":"Neural Computing and Applications","author":"M. Abdel-Basset","year":"2020"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1016\/j.scient.2011.04.003"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/amm.380-384.1216"},{"key":"36","first-page":"67","article-title":"Dynamics and masses of astronomical bodies","volume-title":"Astrophysical Concepts","author":"M. Harwit","year":"2006"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2002.1007032"},{"key":"39","unstructured":"ZhangQ.ZhouA.ZhaoS.SuganthanP. N.LiuW.TiwariS.Multiobjective optimization test instances for the CEC 2009 special session and competition2009Colchester, UKUniversity of EssexTechnical Report CES-487"},{"key":"40","first-page":"505","article-title":"Improving PSO-based multiobjective optimization using crowding, mutation and \u03f5-dominance","author":"M. R. Sierra"},{"key":"41","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-005-0527-z"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2020\/8846250.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2020\/8846250.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2020\/8846250.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T15:18:23Z","timestamp":1606835903000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2020\/8846250\/"}},"subtitle":[],"editor":[{"given":"Paulo","family":"Moura Oliveira","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2020,11,30]]},"references-count":41,"alternative-id":["8846250","8846250"],"URL":"https:\/\/doi.org\/10.1155\/2020\/8846250","relation":{},"ISSN":["1687-5273","1687-5265"],"issn-type":[{"value":"1687-5273","type":"electronic"},{"value":"1687-5265","type":"print"}],"subject":[],"published":{"date-parts":[[2020,11,30]]}}}