{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T10:06:14Z","timestamp":1779444374306,"version":"3.53.1"},"publisher-location":"Singapore","reference-count":40,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819509843","type":"print"},{"value":"9789819509850","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-0985-0_6","type":"book-chapter","created":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T22:23:02Z","timestamp":1759270982000},"page":"64-80","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Constrained Multi-objective Differential Evolution Algorithm Based on Evolutionary Multi-Task Optimization"],"prefix":"10.1007","author":[{"given":"Hui","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaosheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingchao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinqin","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Lakhdhar, W., et al.: Multiobjective optimization approach for a portable development of reconfigurable real-time systems: from specification to implementation. IEEE Transa. Syst. Man Cybern. Syst. 49(3), 623\u2013637(2019)","DOI":"10.1109\/TSMC.2017.2781460"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Su, Z.P., et al.: Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation. IEEE Transa. Evolutionary Comput. 25(3), 537\u2013551(2021)","DOI":"10.1109\/TEVC.2021.3055538"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Wang, H., Jin, Y.: A random forest-assisted evolutionary algorithm for data-driven constrained multiobjective combinatorial optimization of trauma systems. IEEE Transa. Cybern. 50(2), 536\u2013549 (2020)","DOI":"10.1109\/TCYB.2018.2869674"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Fan, Q., Wang, W., Yan, X.: Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and qbiochemical dynamic optimization problems. Appl. Soft Comput. 59, 33\u201344 (2017)","DOI":"10.1016\/j.asoc.2017.05.044"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Liang, J., et al.: A survey on evolutionary constrained multi-objective optimization. IEEE Transa. Evolutionary Comput. 27(2), 201\u2013221 (2023)","DOI":"10.1109\/TEVC.2022.3155533"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Liu, Q., Cui, C., Fan, Q.: Self-adaptive constrained multi-objective differential evolution algorithm based on the state\u2013action\u2013reward\u2013state\u2013action method. Mathematics 10(5), 813 (2022)","DOI":"10.3390\/math10050813"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Ma, H., et al.: A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. 560, 68\u201391(2021)","DOI":"10.1016\/j.ins.2021.01.029"},{"issue":"9","key":"6_CR8","doi-asserted-by":"publisher","first-page":"9559","DOI":"10.1109\/TCYB.2020.3021138","volume":"52","author":"Y Tian","year":"2022","unstructured":"Tian, Y., et al.: Balancing objective optimization and constraint satisfaction in constrained evolutionary multiobjective optimization. IEEE Transa. Cybern. 52(9), 9559\u20139572 (2022)","journal-title":"IEEE Transa. Cybern."},{"issue":"2","key":"6_CR9","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TEVC.2018.2855411","volume":"23","author":"K Li","year":"2019","unstructured":"Li, K., et al.: Two-archive evolutionary algorithm for constrained multiobjective optimization. IEEE Transa. Evolutionary Comput. 23(2), 303\u2013315 (2019)","journal-title":"IEEE Transa. Evolutionary Comput."},{"issue":"10","key":"6_CR10","doi-asserted-by":"publisher","first-page":"10163","DOI":"10.1109\/TCYB.2021.3056176","volume":"52","author":"ZZ Liu","year":"2022","unstructured":"Liu, Z.Z., Wang, B.C., Tang, K.: Handling constrained multiobjective optimization problems via bidirectional coevolution. IEEE Transa. Cybern. 52(10), 10163\u201310176 (2022)","journal-title":"IEEE Transa. Cybern."},{"issue":"1","key":"6_CR11","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/TEVC.2020.3004012","volume":"25","author":"Y Tian","year":"2021","unstructured":"Tian, Y., et al.: A coevolutionary framework for constrained multiobjective optimization problems. IEEE Transa. Evolutionary Comput. 25(1), 102\u2013116 (2021)","journal-title":"IEEE Transa. Evolutionary Comput."},{"issue":"6","key":"6_CR12","doi-asserted-by":"publisher","first-page":"3476","DOI":"10.1109\/TSMC.2021.3069986","volume":"52","author":"J Wang","year":"2022","unstructured":"Wang, J., et al.: Cooperative multiobjective evolutionary algorithm with propulsive population for constrained multiobjective optimization. IEEE Transa. Syst. Man Cybern. Syst. 52(6), 3476\u20133491 (2022)","journal-title":"IEEE Transa. Syst. Man Cybern. Syst."},{"issue":"6","key":"6_CR13","doi-asserted-by":"publisher","first-page":"2060","DOI":"10.1109\/TCYB.2018.2819208","volume":"49","author":"J Wang","year":"2019","unstructured":"Wang, J., Liang, G., Zhang, J.: Cooperative differential evolution framework for constrained multiobjective optimization. IEEE Transa. Cybern. 49(6), 2060\u20132072 (2019)","journal-title":"IEEE Transa. Cybern."},{"issue":"2","key":"6_CR14","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/TEVC.2022.3145582","volume":"26","author":"K Qiao","year":"2022","unstructured":"Qiao, K., et al.: An evolutionary multitasking optimization framework for constrained multiobjective optimization problems. IEEE Transa. Evolutionary Comput. 26(2), 263\u2013277 (2022)","journal-title":"IEEE Transa. Evolutionary Comput."},{"issue":"4","key":"6_CR15","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.1007\/s00500-015-1588-6","volume":"20","author":"J Liu","year":"2016","unstructured":"Liu, J., et al.: An exact penalty function-based differential search algorithm for constrained global optimization. Soft. Comput. 20(4), 1305\u20131313 (2016)","journal-title":"Soft. Comput."},{"issue":"2","key":"6_CR16","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., et al.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transa. Evolutionary Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Transa. Evolutionary Comput."},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Takahama, T., Sakai, S.: Constrained optimization by the \u03b5 constrained differential evolution with gradient-based mutation and feasible elites. In: 2006 IEEE International Conference on Evolutionary Computation, Vancouver, BC, Canada, pp. 1\u20138 (2006)","DOI":"10.1109\/CEC.2006.1688283"},{"issue":"3","key":"6_CR18","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/4235.873238","volume":"4","author":"TP Runarsson","year":"2000","unstructured":"Runarsson, T.P., Xin, Y.: Stochastic ranking for constrained evolutionary optimization. IEEE Transa. Evolutionary Comput. 4(3), 284\u2013294 (2000)","journal-title":"IEEE Transa. Evolutionary Comput."},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Maldonado, H.M., Zapotecas-Mart\u00ednez, S.: A dynamic penalty function within MOEA\/D for constrained multi-objective optimization problems. In: 2021 IEEE Congress on Evolutionary Computation (CEC), Krak\u00f3w, Poland, pp. 1470\u20131477 (2021)","DOI":"10.1109\/CEC45853.2021.9504940"},{"key":"6_CR20","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., et al.: Push and pull search for solving constrained multi-objective optimization problems. Swarm and Evolutionary Comput. 44, 665\u2013679 (2019)","journal-title":"Swarm and Evolutionary Comput."},{"issue":"3","key":"6_CR21","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1109\/TEVC.2022.3175065","volume":"27","author":"K Qiao","year":"2023","unstructured":"Qiao, K., et al.: Dynamic auxiliary task-based evolutionary multitasking for constrained multi-objective optimization. IEEE Trans. Evol. Comput. 27(3), 642\u2013656 (2023)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"6_CR22","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1109\/TEVC.2022.3230822","volume":"28","author":"F Ming","year":"2024","unstructured":"Ming, F., et al.: Constrained multi-objective optimization via multitasking and knowledge transfer. IEEE Trans. Evol. Comput. 28(1), 77\u201389 (2024)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"6_CR23","doi-asserted-by":"publisher","first-page":"2712","DOI":"10.1109\/TCYB.2019.2914060","volume":"51","author":"Q Fan","year":"2021","unstructured":"Fan, Q., et al.: A variable search space strategy based on sequential trust region determination technique. IEEE Trans. Cybern. 51(5), 2712\u20132724 (2021)","journal-title":"IEEE Trans. Cybern."},{"key":"6_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107653","volume":"235","author":"K Qiao","year":"2022","unstructured":"Qiao, K., et al.: Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization. Knowl. Syst. 235, 107653 (2022)","journal-title":"Knowl. Syst."},{"issue":"5","key":"6_CR25","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang, J., Sanderson, A.C.: JADE: adaptive differential evolution with optional external archive. IEEE Transa. Evolutionary Comput. 13(5), 945\u2013958 (2009)","journal-title":"IEEE Transa. Evolutionary Comput."},{"issue":"1","key":"6_CR26","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2011","unstructured":"Das, S., Suganthan, P.N.: Differential evolution: a survey of the state-of-the-art. IEEE Transa. Evolutionary Comput. 15(1), 4\u201331 (2011)","journal-title":"IEEE Transa. Evolutionary Comput."},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Wang, B.C., et al.: Composite Differential Evolution for Constrained Evolutionary Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(7), pp. 1482\u20131495(2019)","DOI":"10.1109\/TSMC.2018.2807785"},{"issue":"7","key":"6_CR28","doi-asserted-by":"publisher","first-page":"4457","DOI":"10.1109\/TSMC.2021.3096220","volume":"52","author":"Z Liang","year":"2022","unstructured":"Liang, Z., et al.: Multiobjective evolutionary multitasking with two-stage adaptive knowledge transfer based on population distribution. IEEE Transa. Syst. Man. Cybern. Syst. 52(7), 4457\u20134469 (2022)","journal-title":"IEEE Transa. Syst. Man. Cybern. Syst."},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Deb, K., Pratap, A., Meyarivan, T.: Constrained test problems for multi-objective evolutionary optimization. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization.\u00a0Lecture Notes in Computer Science, vol 1993, Springer, Berlin, Heidelberg (2001)","DOI":"10.1007\/3-540-44719-9_20"},{"key":"6_CR30","unstructured":"Binh, T.T., Korn, U.: MOBES: A multiobjective evolution strategy for constrained optimization problems. In: The Third International Conference on Genetic Algorithms(1999)"},{"key":"6_CR31","unstructured":"Justesen, P.D.: Multi-objective optimization using evolutionary algorithms. Department of Computer Science, Denmark 34(2), 33 (2009)"},{"issue":"2","key":"6_CR32","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1080\/03052150210915","volume":"34","author":"T Ray","year":"2002","unstructured":"Ray, T., Liew, K.J.: A swarm metaphor for multiobjective design optimization. Eng. Optimization 34(2), 141\u2013153 (2002)","journal-title":"Eng. Optimization"},{"issue":"2","key":"6_CR33","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/BF01743536","volume":"10","author":"A Osyczka","year":"1995","unstructured":"Osyczka, A., Kundu, S.: A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm. Struct. Optimization 10(2), 94\u201399 (1995)","journal-title":"Struct. Optimization"},{"issue":"5","key":"6_CR34","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1007\/s00158-005-0527-z","volume":"30","author":"C Coello Coello","year":"2005","unstructured":"Coello Coello, C., Pulido, G.: Multiobjective structural optimization using a microgenetic algorithm. Struct. Multidis. Optimization 30(5), 388\u2013403 (2005)","journal-title":"Struct. Multidis. Optimization"},{"issue":"3","key":"6_CR35","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas, N., Deb, K.: Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Comput. 2(3), 221\u2013248 (1994)","journal-title":"Evolutionary Comput."},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"Tanaka, M., et al.: GA-based decision support system for multicriteria optimization. In: 1995 IEEE international conference on systems, man and cybernetics. In: Intelligent Systems for the 21st Century, Vancouver, BC, Canada, 2, pp. 1556\u20131561 (1995)","DOI":"10.1109\/ICSMC.1995.537993"},{"issue":"2","key":"6_CR37","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/TEVC.2003.810761","volume":"7","author":"PA Bosman","year":"2003","unstructured":"Bosman, P.A., Thierens, D.: The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Transa. Evolutionary Comput. 7(2), 174\u2013188 (2003)","journal-title":"IEEE Transa. Evolutionary Comput."},{"issue":"5","key":"6_CR38","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.: A constrained multiobjective evolutionary algorithm with detect-and-escape strategy. IEEE Transa. Evolutionary Comput. 24(5), 938\u2013947 (2020)","journal-title":"IEEE Transa. Evolutionary Comput."},{"key":"6_CR39","doi-asserted-by":"crossref","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. In: Breakthroughs in statistics, Springer. New York, NY, pp. 196\u2013202(1992)","DOI":"10.1007\/978-1-4612-4380-9_16"},{"key":"6_CR40","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H., et al.: Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. In: Deb, K.,\u00a0et al.\u00a0Evolutionary Multi-Criterion Optimization, vol. 11411, pp. 332\u2013345. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-12598-1_27"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0985-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T09:34:23Z","timestamp":1779442463000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0985-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9789819509843","9789819509850"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0985-0_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Swarm Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yokohama","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"swarm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iasei.org\/icsi2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}