{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:21:18Z","timestamp":1783102878648,"version":"3.54.6"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698042","type":"print"},{"value":"9789819698059","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-9805-9_18","type":"book-chapter","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T05:53:44Z","timestamp":1753422824000},"page":"217-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Objective Evolutionary Algorithm Based on Decomposition with Adaptive Multi-Task Knowledge Transfer and Dynamic Adjustment"],"prefix":"10.1007","author":[{"given":"Jiayi","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.100961","volume":"67","author":"A Kumar","year":"2021","unstructured":"Kumar, A., et al.: A benchmark-suite of real-world constrained multiobjective optimization problems and some baseline results. Swarm Evol. Comput. 67, 100961 (2021)","journal-title":"Swarm Evol. Comput."},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2000","unstructured":"Deb, K., Pratap, A., Agarwal, S., et al.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6, 182\u2013197 (2000)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR3","first-page":"1","volume":"103","author":"E Zitzler","year":"2001","unstructured":"Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the strength pareto evolutionary algorithm. TIK-Report 103, 1\u201332 (2001)","journal-title":"TIK-Report"},{"issue":"4","key":"18_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.: 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 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"6","key":"18_CR5","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"18_CR6","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1162\/EVCO_a_00109","volume":"22","author":"Y Qi","year":"2014","unstructured":"Qi, Y., Ma, X., Liu, F., Jiao, L., Sun, J., Wu, J.: MOEA\/D with adaptive weight adjustment. Evol. Comput. 22(2), 231\u2013264 (2014)","journal-title":"Evol. Comput."},{"issue":"5","key":"18_CR7","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1109\/TEVC.2014.2373386","volume":"19","author":"K Li","year":"2015","unstructured":"Li, K., Deb, K., Zhang, Q., Kwong, S.: An evolutionary many-objective optimization algorithm based on dominance and decomposition. IEEE Trans. Evol. Comput. 19(5), 694\u2013716 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TCYB.2015.2507366","volume":"47","author":"H Li","year":"2017","unstructured":"Li, H., Zhang, Q., Deng, J.: Biased multiobjective optimization and decomposition algorithm. IEEE Transa. Cybern. 47(1), 52\u201366 (2017)","journal-title":"IEEE Transa. Cybern."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Liu, W., Li, H.: The performance of a new version of MOEA\/D on CEC09 unconstrained MOP test instances. In: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp. 203\u2013208. IEEE (2009)","DOI":"10.1109\/CEC.2009.4982949"},{"issue":"3","key":"18_CR10","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TEVC.2022.3175832","volume":"27","author":"R Li","year":"2023","unstructured":"Li, R., Gong, W., Lu, C., Wang, L.: A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time. IEEE Trans. Evol. Comput. 27(3), 610\u2013620 (2023)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"18_CR11","first-page":"125","volume":"46","author":"W Liu","year":"2023","unstructured":"Liu, W., Wang, H.: Simulation and experiments of MOEA\/D improved washout algorithm based on motion test platform. J. Chongqing Univ. 46(1), 125\u2013136 (2023)","journal-title":"J. Chongqing Univ."},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Guo, T., Mei, Y., Tang, K., Du, W.: Cooperative co-evolution for large-scale multi-objective air traffic flow management. IEEE Transa. Evolutionary Comput. (2023)","DOI":"10.1109\/TEVC.2023.3328886"},{"issue":"3","key":"18_CR13","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1109\/TEVC.2015.2458037","volume":"20","author":"A Gupta","year":"2016","unstructured":"Gupta, A., Ong, Y., Feng, L.: Multifactorial evolution: toward evolutionary multitasking. IEEE Trans. Evol. Comput. 20(3), 343\u2013357 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"7","key":"18_CR14","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1109\/TCYB.2016.2554622","volume":"47","author":"A Gupta","year":"2017","unstructured":"Gupta, A., Ong, Y.-S., Feng, L., Tan, K.C.: Multiobjective multifactorial optimization in evolutionary multitasking. IEEE Transa. Cybern. 47(7), 1652\u20131665 (2017)","journal-title":"IEEE Transa. Cybern."},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Liaw, R.-T., Ting, C.-K.: Evolutionary manytasking optimization based on symbiosis in biocoenosis. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, pp. 4295\u20134303 (2019)","DOI":"10.1609\/aaai.v33i01.33014295"},{"issue":"4","key":"18_CR16","first-page":"1784","volume":"51","author":"KK Ali","year":"2020","unstructured":"Ali, K.K., Gupta, A., Ong, Y.S., Tan, P.S.: Cognizant multitasking in multiobjective multifactorial evolution: MO-MFEA-II. IEEE Transa. Cybern. 51(4), 1784\u20131796 (2020)","journal-title":"IEEE Transa. Cybern."},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Liang, Z., Liang, W., Wang, Z., Ma, X., Liu, L., Zhu, Z.: Multiobjective evolutionary multitasking with two-stage adaptive knowledge transfer based on population distribution. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2021)","DOI":"10.1109\/TSMC.2021.3096220"},{"key":"18_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.asoc.2023.110545","volume":"145","author":"H Zhao","year":"2023","unstructured":"Zhao, H., Ning, X., Liu, X., Wang, C., Liu, J.: What makes evolutionary multi-task optimization better: a comprehensive survey. Appl. Soft Comput. 145, 1\u201323 (2023)","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"18_CR19","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 multiobjective optimization. IEEE Trans. Evol. Comput. 27(3), 642\u2013656 (2023)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"18_CR20","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1109\/TETCI.2023.3236633","volume":"7","author":"K Qiao","year":"2023","unstructured":"Qiao, K., et al.: A self-adaptive evolutionary multi-task based constrained multi-objective evolutionary algorithm. IEEE Transa. Emerg. Topics Comput. Intell. 7(4), 1098\u20131112 (2023)","journal-title":"IEEE Transa. Emerg. Topics Comput. Intell."},{"issue":"2","key":"18_CR21","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1109\/TEVC.2022.3141819","volume":"26","author":"G Li","year":"2022","unstructured":"Li, G., Zhang, Q., Wang, Z.: Evolutionary competitive multitasking optimization. IEEE Trans. Evol. Comput. 26(2), 278\u2013289 (2022)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119550","volume":"217","author":"Y Li","year":"2023","unstructured":"Li, Y., Gong, W., Li, S.: Evolutionary competitive multitasking optimization via improved adaptive differential evolution. Expert Syst. Appl. 217, 119550 (2023)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"18_CR23","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.: PlatEMO: a MATLAB platform for evolutionary multi-objective optimization [educational forum]. IEEE Comput. Intell. Mag. 12(4), 73\u201387 (2017)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"3","key":"18_CR24","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/MCI.2019.2919398","volume":"14","author":"Y Tian","year":"2019","unstructured":"Tian, Y., Cheng, R., Zhang, X., Li, M., Jin, Y.: Diversity assessment of multi-objective evolutionary algorithms: performance metric and benchmark problems. IEEE Comput. Intell. Mag. 14(3), 61\u201374 (2019)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"2","key":"18_CR25","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: empirical results. Evol. Comput. 8(2), 173\u2013195 (2000)","journal-title":"Evol. Comput."},{"issue":"4","key":"18_CR26","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1109\/TEVC.2013.2281534","volume":"18","author":"H Jain","year":"2014","unstructured":"Jain, H., Deb, K.: An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, part II: Handling constraints and extending to an adaptive approach. IEEE Trans. Evol. Comput. 18(4), 602\u2013622 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"12","key":"18_CR27","doi-asserted-by":"publisher","first-page":"7783","DOI":"10.1109\/TSMC.2023.3299570","volume":"53","author":"F Ming","year":"2023","unstructured":"Ming, F., Gong, W., Wang, L., Gao, L.: A constraint-handling technique for decomposition-based constrained many-objective evolutionary algorithms. IEEE Transa. Syst. Man Cybern. Syst. 53(12), 7783\u20137793 (2023)","journal-title":"IEEE Transa. Syst. Man Cybern. Syst."},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"316","DOI":"10.3390\/biomimetics9060316","volume":"9","author":"J Jiang","year":"2024","unstructured":"Jiang, J., Wu, J., Luo, J., Yang, X., Huang, Z.: MOBCA: multi-objective besiege and conquer algorithm. Biomimetics 9, 316 (2024)","journal-title":"Biomimetics"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9805-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:58:07Z","timestamp":1783101487000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9805-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698042","9789819698059"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9805-9_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"26 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}