{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T11:24:10Z","timestamp":1780485850822,"version":"3.54.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T00:00:00Z","timestamp":1649289600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T00:00:00Z","timestamp":1649289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["No. 2020JJ4587"],"award-info":[{"award-number":["No. 2020JJ4587"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"crossref","award":["No. 2019A1515110423"],"award-info":[{"award-number":["No. 2019A1515110423"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Open Fund Project of Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment of Ministry of Education","award":["No. GDSC202020"],"award-info":[{"award-number":["No. GDSC202020"]}]},{"name":"Open Fund Project of Fujian Provincial Key Laboratory of Data Intensive Computing","award":["No. BD202004"],"award-info":[{"award-number":["No. BD202004"]}]},{"name":"Open Research Fund of AnHui Key Laboratory of Detection Technology and Energy Saving Devices","award":["No. JCKJ2021B05"],"award-info":[{"award-number":["No. JCKJ2021B05"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10489-022-03421-7","type":"journal-article","created":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T23:02:33Z","timestamp":1649286153000},"page":"17954-17973","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A coevolution algorithm based on two-staged strategy for constrained multi-objective problems"],"prefix":"10.1007","volume":"52","author":[{"given":"Chaodong","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leyi","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanyong","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoyang","family":"Ai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenhuan","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,4,7]]},"reference":[{"key":"3421_CR1","unstructured":"Tan B, Ma H, Mei Y, Zhang M (2018) Evolutionary multi-objective optimization for web service location allocation problem. IEEE Trans Serv Comput"},{"issue":"1","key":"3421_CR2","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TSG.2016.2598678","volume":"8","author":"H Farzin","year":"2016","unstructured":"Farzin H, Fotuhi-Firuzabad M, Moeini-Aghtaie M (2016) A stochastic multi-objective framework for optimal scheduling of energy storage systems in microgrids. IEEE Trans Smart Grid 8(1):117\u2013127","journal-title":"IEEE Trans Smart Grid"},{"issue":"6","key":"3421_CR3","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1109\/TEVC.2017.2690446","volume":"21","author":"M Gong","year":"2017","unstructured":"Gong M, Wang Z, Zhu Z, Jiao L (2017) A similarity-based multiobjective evolutionary algorithm for deployment optimization of near space communication system. IEEE Trans Evol Comput 21(6):878\u2013897","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"3421_CR4","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: Solving problems with box constraints. IEEE Trans Evol Comput 18(4):577\u2013601","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"3421_CR5","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1109\/TEVC.2020.2981949","volume":"24","author":"Q Zhu","year":"2020","unstructured":"Zhu Q, Zhang Q, Lin Q (2020) A constrained multiobjective evolutionary algorithm with detect-and-escape strategy. IEEE Trans Evol Comput 24(5):938\u2013947","journal-title":"IEEE Trans Evol Comput"},{"key":"3421_CR6","first-page":"292","volume":"274","author":"H Garg","year":"2016","unstructured":"Garg H (2016) A hybrid pso-ga algorithm for constrained optimization problems. Appl Math Comput 274:292\u2013305","journal-title":"Appl Math Comput"},{"key":"3421_CR7","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.asoc.2018.10.028","volume":"74","author":"J Qiao","year":"2019","unstructured":"Qiao J, Zhou H, Yang C, Yang S (2019) A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. Appl Soft Comput 74:190\u2013205","journal-title":"Appl Soft Comput"},{"issue":"3","key":"3421_CR8","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1109\/TEVC.2008.2009032","volume":"13","author":"YG Woldesenbet","year":"2009","unstructured":"Woldesenbet YG, Yen GG, Tessema BG (2009) Constraint handling in multiobjective evolutionary optimization. IEEE Trans Evol Comput 13(3):514\u2013525","journal-title":"IEEE Trans Evol Comput"},{"key":"3421_CR9","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.swevo.2018.08.017","volume":"44","author":"Z Fan","year":"2019","unstructured":"Fan Z, Li W, Cai X, Li H, Wei C, Zhang Q, Deb K, Goodman E (2019) Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol Comput 44:665\u2013679","journal-title":"Swarm Evol Comput"},{"issue":"3","key":"3421_CR10","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/4235.873238","volume":"4","author":"TP Runarsson","year":"2000","unstructured":"Runarsson TP, Yao X (2000) Stochastic ranking for constrained evolutionary optimization. IEEE Trans Evol Comput 4(3):284\u2013294","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"3421_CR11","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan TAMT (2002) A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Trans Evol Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"3421_CR12","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s10845-020-01565-2","volume":"32","author":"W Yi","year":"2021","unstructured":"Yi W, Gao L, Pei Z, Lu J, Chen Y (2021) \u03b5 constrained differential evolution using halfspace partition for optimization problems. J Intell Manuf 32(1):157\u2013178","journal-title":"J Intell Manuf"},{"key":"3421_CR13","doi-asserted-by":"crossref","unstructured":"Fan Z, Li W, Cai X, Hu K, Lin H, Li H (2016) Angle-based constrained dominance principle in moea\/d for constrained multi-objective optimization problems. In: 2016 IEEE Congress on evolutionary computation (CEC), IEEE, pp 460\u2013467","DOI":"10.1109\/CEC.2016.7743830"},{"key":"3421_CR14","doi-asserted-by":"crossref","unstructured":"Xia M, Dong M (2021) A novel two-archive evolutionary algorithm for constrained multi-objective optimization with small feasible regions. Knowl-Based Syst,, pp 107693","DOI":"10.1016\/j.knosys.2021.107693"},{"issue":"99","key":"3421_CR15","first-page":"1","volume":"PP","author":"ZZ Liu","year":"2021","unstructured":"Liu ZZ, Wang BC, Tang K (2021) Handling constrained multiobjective optimization problems via bidirectional coevolution. IEEE Trans Cybern PP(99):1\u201314","journal-title":"IEEE Trans Cybern"},{"key":"3421_CR16","unstructured":"Wang B-C, Li H-X, Zhang Q, Wang Y (2018) Decomposition-based multiobjective optimization for constrained evolutionary optimization. IEEE Transactions on systems, man, and cybernetics: systems"},{"key":"3421_CR17","unstructured":"Tian Y, Zhang T, Xiao J, Zhang X, Jin Y (2020) A coevolutionary framework for constrained multi-objective optimization problems. IEEE Transactions on systems, man, and cybernetics: systems"},{"key":"3421_CR18","doi-asserted-by":"publisher","first-page":"100799","DOI":"10.1016\/j.swevo.2020.100799","volume":"60","author":"K Yu","year":"2021","unstructured":"Yu K, Liang J, Qu B, Yue C (2021) Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm Evol Comput 60:100799","journal-title":"Swarm Evol Comput"},{"issue":"C","key":"3421_CR19","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.asoc.2016.04.030","volume":"46","author":"A Panda","year":"2016","unstructured":"Panda A, Pani S (2016) A symbiotic organisms search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems. Appl Soft Comput 46(C):344\u2013360","journal-title":"Appl Soft Comput"},{"key":"3421_CR20","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1016\/j.asoc.2017.06.053","volume":"60","author":"C Peng","year":"2017","unstructured":"Peng C, Liu HL, Gu F (2017) An evolutionary algorithm with directed weights for constrained multi-objective optimization. Appl Soft Comput 60:613\u2013622. https:\/\/doi.org\/10.1016\/j.asoc.2017.06.053, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494617303964","journal-title":"Appl Soft Comput"},{"issue":"3","key":"3421_CR21","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1016\/j.ejor.2017.03.048","volume":"261","author":"R Liu","year":"2017","unstructured":"Liu R, Li J, Mu C, Jiao L, et al. (2017) A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. Eur J Oper Res 261(3):1028\u2013 1051","journal-title":"Eur J Oper Res"},{"key":"3421_CR22","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.knosys.2016.07.001","volume":"109","author":"X Peng","year":"2016","unstructured":"Peng X, Liu K, Jin Y (2016) A dynamic optimization approach to the design of cooperative co-evolutionary algorithms. Knowl-Based Syst 109:174\u2013186","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"3421_CR23","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1109\/TEVC.2019.2895860","volume":"23","author":"X-Y Zhang","year":"2019","unstructured":"Zhang X-Y, Gong Y-J, Lin Y, Zhang J, Kwong S, Zhang J (2019) Dynamic cooperative coevolution for large scale optimization. IEEE Trans Evol Comput 23(6):935\u2013948","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"3421_CR24","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/s10845-017-1294-6","volume":"29","author":"AW Mohamed","year":"2018","unstructured":"Mohamed AW (2018) A novel differential evolution algorithm for solving constrained engineering optimization problems. J Intell Manuf 29(3):659\u2013692","journal-title":"J Intell Manuf"},{"key":"3421_CR25","doi-asserted-by":"crossref","unstructured":"Zhou J, Zou J, Yang S, Zheng J, Pei T (2021) Niche-based and angle-based selection strategies for many-objective evolutionary optimization. Information Sciences","DOI":"10.1016\/j.ins.2021.04.050"},{"key":"3421_CR26","doi-asserted-by":"crossref","unstructured":"Yang N, Liu HL (2021) Adaptively allocating constraint-handling techniques for constrained multi-objective optimization problems. Int J Pattern Recognit Artif Intell","DOI":"10.1142\/S0218001421590321"},{"issue":"6","key":"3421_CR27","doi-asserted-by":"publisher","first-page":"2060","DOI":"10.1109\/TCYB.2018.2819208","volume":"49","author":"J Wang","year":"2018","unstructured":"Wang J, Liang G, Zhang J (2018) Cooperative differential evolution framework for constrained multiobjective optimization. IEEE Trans Cybern 49(6):2060\u20132072","journal-title":"IEEE Trans Cybern"},{"issue":"2","key":"3421_CR28","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TEVC.2018.2855411","volume":"23","author":"K Li","year":"2018","unstructured":"Li K, Chen R, Fu G, Yao X (2018) Two-archive evolutionary algorithm for constrained multiobjective optimization. IEEE Trans Evol Comput 23(2):303\u2013315","journal-title":"IEEE Trans Evol Comput"},{"issue":"99","key":"3421_CR29","first-page":"1","volume":"PP","author":"J Wang","year":"2021","unstructured":"Wang J, Li Y, Zhang Q, Zhang Z, Gao S (2021) Cooperative multiobjective evolutionary algorithm with propulsive population for constrained multiobjective optimization. IEEE Trans Syst Man Cybern: Syst PP(99):1\u201316","journal-title":"IEEE Trans Syst Man Cybern: Syst"},{"issue":"5","key":"3421_CR30","doi-asserted-by":"publisher","first-page":"870","DOI":"10.1109\/TEVC.2019.2894743","volume":"23","author":"ZZ Liu","year":"2019","unstructured":"Liu ZZ, Wang Y (2019) Handling constrained multiobjective optimization problems with constraints in both the decision and objective spaces. IEEE Trans Evol Comput 23(5):870\u2013 884","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"3421_CR31","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1109\/MCI.2017.2742868","volume":"12","author":"Y Tian","year":"2017","unstructured":"Tian Y, Cheng R, Zhang X, Jin Y (2017) Platemo: A matlab platform for evolutionary multi-objective optimization [educational forum]. IEEE Comput Intell Mag 12(4):73\u201387","journal-title":"IEEE Comput Intell Mag"},{"issue":"6","key":"3421_CR32","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1109\/TEVC.2019.2896967","volume":"23","author":"Z Ma","year":"2019","unstructured":"Ma Z, Wang Y (2019) Evolutionary constrained multiobjective optimization: Test suite construction and performance comparisons. IEEE Trans Evol Comput 23(6):972\u2013986","journal-title":"IEEE Trans Evol Comput"},{"issue":"23","key":"3421_CR33","doi-asserted-by":"publisher","first-page":"12491","DOI":"10.1007\/s00500-019-03794-x","volume":"23","author":"Z Fan","year":"2019","unstructured":"Fan Z, Li W, Cai X, Huang H, Fang Y, You Y, Mo J, Wei C, Goodman E (2019) An improved epsilon constraint-handling method in moea\/d for cmops with large infeasible regions. Soft Comput 23(23):12491\u201312510","journal-title":"Soft Comput"},{"issue":"1","key":"3421_CR34","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"JD a","year":"2011","unstructured":"a JD, b SG, C DM, A FH (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1 (1):3\u201318","journal-title":"Swarm Evol Comput"},{"key":"3421_CR35","doi-asserted-by":"crossref","unstructured":"Tian Y, Xiang X, Zhang X, Cheng R, Jin Y (2018) Sampling reference points on the pareto fronts of benchmark multi-objective optimization problems. In: 2018 IEEE congress on evolutionary computation (CEC), pp 1\u20136 (2018). IEEE","DOI":"10.1109\/CEC.2018.8477730"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03421-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03421-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03421-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,19]],"date-time":"2022-11-19T10:35:01Z","timestamp":1668854101000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03421-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,7]]},"references-count":35,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["3421"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03421-7","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,7]]},"assertion":[{"value":"19 February 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}