{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:46:54Z","timestamp":1761598014320,"version":"3.41.2"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T00:00:00Z","timestamp":1542067200000},"content-version":"vor","delay-in-days":316,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61370092"],"award-info":[{"award-number":["61370092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007724","name":"Wuhan University of Technology","doi-asserted-by":"publisher","award":["SYSJJ2018-21"],"award-info":[{"award-number":["SYSJJ2018-21"]}],"id":[{"id":"10.13039\/501100007724","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:p>The collective decision optimization algorithm (CDOA) is a new stochastic population\u2010based evolutionary algorithm which simulates the decision behavior of human. In this paper, a multiobjective collective decision optimization algorithm (MOCDOA) is first proposed to solve the environmental\/economic dispatch (EED) problem. MOCDOA uses three novel learning strategies, that is, a leader\u2010updating strategy based on the maximum distance of each solution in an external archive, a wise random perturbation strategy based on the sparse mark around a leader, and a geometric center\u2010updating strategy based on an extreme point. The proposed three learning strategies benefit the improvement of the uniformity and the diversity of Pareto optimal solutions. Several experiments have been carried out on the IEEE 30\u2010bus 6\u2010unit test system and 10\u2010unit test system to investigate the performance of MOCDOA. In terms of extreme solutions, compromise solution, and three metrics (SP, HV, and CM), MOCDOA is compared with other existing multiobjective optimization algorithms. It is demonstrated that MOCDOA can generate the well\u2010distributed and the high\u2010quality Pareto optimal solutions for the EED problem and has the potential to solve the multiobjective optimization problems of other power systems.<\/jats:p>","DOI":"10.1155\/2018\/1027193","type":"journal-article","created":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T23:31:24Z","timestamp":1542151884000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Multiobjective Collective Decision Optimization Algorithm for Economic Emission Dispatch Problem"],"prefix":"10.1155","volume":"2018","author":[{"given":"Xinlin","family":"Xu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3685-2753","authenticated-orcid":false,"given":"Zhongbo","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6613-3883","authenticated-orcid":false,"given":"Qinghua","family":"Su","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4467-9599","authenticated-orcid":false,"given":"Zenggang","family":"Xiong","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,11,13]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"crossref","unstructured":"CaiJ. MaX. LiL.et al. Economic dispatch in power plant based on chaotic ant swarm optimization Proceedings of the 7th IET International Conference on Advances in Power System Control Operation and Management (APSCOM 2006) Hong Kong China 227\u2013227 https:\/\/doi.org\/10.1049\/cp:20062088.","DOI":"10.1049\/cp:20062088"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2006.05.020"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/59.336110"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/59.387910"},{"key":"e_1_2_11_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2013.07.068"},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2007.02.004"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.1986.4334844"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/0378-7796(92)90045-3"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1049\/ip-gtd:19951806"},{"key":"e_1_2_11_10_2","doi-asserted-by":"crossref","unstructured":"Perez-GuerreroR.andCedefio-MaldonadoJ. Differential evolution based economic environmental power dispatch Proceedings of the 37th Annual North American Power Symposium 2005 Ames IA USA 191\u2013197 https:\/\/doi.org\/10.1109\/NAPS.2005.1560523.","DOI":"10.1109\/NAPS.2005.1560523"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40313-014-0122-x"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.08.024"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.02.006"},{"key":"e_1_2_11_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.11.020"},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0142-0615(02)00027-3"},{"key":"e_1_2_11_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-7796(02)00221-3"},{"key":"e_1_2_11_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.857073"},{"key":"e_1_2_11_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2006.11.004"},{"key":"e_1_2_11_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2007.06.009"},{"key":"e_1_2_11_20_2","doi-asserted-by":"crossref","unstructured":"KingR. T. F. A. RughooputhH. C. S. andDebK. Evolutionary Multi-objective Environmental\/Economic Dispatch: Stochastic Versus Deterministic Approaches Proceedings of the Third International Conference EMO 2005 Evolutionary Multi-Criterion Optimization March 2005 Guanajuato Mexico 677\u2013691.","DOI":"10.1007\/978-3-540-31880-4_47"},{"key":"e_1_2_11_21_2","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.2005.A0420"},{"key":"e_1_2_11_22_2","doi-asserted-by":"crossref","unstructured":"VictoireT. A. A.andSuganthanP. N. Improved MOCLPSO algorithm for environmental\/economic dispatch Proceedings of the 2007 IEEE Congress on Evolutionary Computation CEC 2007 September 2007 Singapore 3072\u20133076 2-s2.0-79955305409.","DOI":"10.1109\/CEC.2007.4424863"},{"key":"e_1_2_11_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2006.11.012"},{"key":"e_1_2_11_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2009.01.013"},{"key":"e_1_2_11_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.913121"},{"key":"e_1_2_11_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.06.004"},{"key":"e_1_2_11_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.04.021"},{"key":"e_1_2_11_28_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd:20070457"},{"key":"e_1_2_11_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.068"},{"volume-title":"Power system analysis","year":"1999","author":"Saadat H.","key":"e_1_2_11_30_2"},{"key":"e_1_2_11_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_2_11_32_2","first-page":"227","article-title":"Improved NSGA-II algorithm with circular crowded sorting","volume":"2","author":"Luo Y.","year":"2010","journal-title":"Control and Decision"},{"key":"e_1_2_11_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2007.12.005"},{"key":"e_1_2_11_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1987.289356"},{"key":"e_1_2_11_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.11.014"},{"key":"e_1_2_11_36_2","unstructured":"Corne WD. Jerram RN. Knowles DJ.et al. PESA-II: Region-based selection in evolutionary multiobjective optimization Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation 2001 Morgan Kaufmann Publishers Inc. 283\u2013290."},{"key":"e_1_2_11_37_2","doi-asserted-by":"publisher","DOI":"10.1049\/ip-gtd:19982367"},{"key":"e_1_2_11_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpwrs.2003.818693"},{"volume-title":"Evolutionary algorithms for multiobjective optimization","year":"2002","author":"Zitzler E.","key":"e_1_2_11_39_2"},{"volume-title":"Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization","year":"1995","author":"Schott J. R.","key":"e_1_2_11_40_2"},{"key":"e_1_2_11_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2010.03.010"},{"key":"e_1_2_11_42_2","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2018\/1027193.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2018\/1027193.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2018\/1027193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T22:54:57Z","timestamp":1723157697000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2018\/1027193"}},"subtitle":[],"editor":[{"given":"Carlos F.","family":"Aguilar-Ib\u00e1\u00f1ez","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["10.1155\/2018\/1027193"],"URL":"https:\/\/doi.org\/10.1155\/2018\/1027193","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2018,1]]},"assertion":[{"value":"2018-05-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-30","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-11-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"1027193"}}