{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T16:54:19Z","timestamp":1778691259425,"version":"3.51.4"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319687582","type":"print"},{"value":"9783319687599","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68759-9_52","type":"book-chapter","created":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T02:33:42Z","timestamp":1507862022000},"page":"644-655","source":"Crossref","is-referenced-by-count":12,"title":["A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization"],"prefix":"10.1007","author":[{"given":"Leilei","family":"Cao","sequence":"first","affiliation":[]},{"given":"Lihong","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Erik D.","family":"Goodman","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,14]]},"reference":[{"key":"52_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1007\/978-3-540-70928-2_60","volume-title":"Evolutionary Multi-Criterion Optimization","author":"K Deb","year":"2007","unstructured":"Deb, K., Rao, N.U.B., Karthik, S.: Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) EMO 2007. LNCS, vol. 4403, pp. 803\u2013817. Springer, Heidelberg (2007). doi: 10.1007\/978-3-540-70928-2_60"},{"key":"52_CR2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/TEVC.2016.2574621","volume":"21","author":"S Jiang","year":"2017","unstructured":"Jiang, S., Yang, S.: A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization. IEEE Trans. Evol. Comput. 21, 65\u201382 (2017)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Azzouz, R., Bechikh, S., Ben Said, L.: Multi-objective optimization with dynamic constraints and objectives\u202f: new challenges for evolutionary algorithms (2015)","DOI":"10.1145\/2739480.2754708"},{"key":"52_CR4","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TCYB.2013.2245892","volume":"44","author":"A Zhou","year":"2014","unstructured":"Zhou, A., Jin, Y., Zhang, Q.: A population prediction strategy for evolutionary dynamic multiobjective optimization. IEEE Trans. Cybern. 44, 40\u201353 (2014)","journal-title":"IEEE Trans. Cybern."},{"key":"52_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1007\/978-3-540-70928-2_62","volume-title":"Evolutionary Multi-Criterion Optimization","author":"A Zhou","year":"2007","unstructured":"Zhou, A., Jin, Y., Zhang, Q., Sendhoff, B., Tsang, E.: Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) EMO 2007. LNCS, vol. 4403, pp. 832\u2013846. Springer, Heidelberg (2007). doi: 10.1007\/978-3-540-70928-2_62"},{"key":"52_CR6","unstructured":"Shaaban, S., Haluk, T.R.: A memory based NSGA2 algorithm for DMOP. In: LNCS, pp. 296\u2013310 (2016)"},{"key":"52_CR7","doi-asserted-by":"crossref","first-page":"2862","DOI":"10.1109\/TCYB.2015.2490738","volume":"46","author":"A Muruganantham","year":"2016","unstructured":"Muruganantham, A., Tan, K.C., Vadakkepat, P.: Evolutionary dynamic multiobjective optimization via Kalman filter prediction. IEEE Trans. Cybern. 46, 2862\u20132873 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Chen, X., Zhang, D., Zeng, X.: A stable matching-based selection and memory enhanced MOEA\/D for evolutionary dynamic multiobjective optimization. In: Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI 2016, pp. 478\u2013485 (2016)","DOI":"10.1109\/ICTAI.2015.77"},{"key":"52_CR9","unstructured":"David, H.I.W.: Dynamic multi-objective optimization evolutionary algorithms: a forward-looking approach. In: GECCO 2006, pp. 456\u2013459 (2006)"},{"key":"52_CR10","doi-asserted-by":"crossref","first-page":"3221","DOI":"10.1007\/s00500-014-1477-4","volume":"19","author":"Y Wu","year":"2015","unstructured":"Wu, Y., Jin, Y., Liu, X.: A directed search strategy for evolutionary dynamic multiobjective optimization. Soft. Comput. 19, 3221\u20133235 (2015)","journal-title":"Soft. Comput."},{"key":"52_CR11","doi-asserted-by":"crossref","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, 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"52_CR12","doi-asserted-by":"crossref","first-page":"1571","DOI":"10.3724\/SP.J.1001.2013.04311","volume":"24","author":"M Liu","year":"2014","unstructured":"Liu, M., Zeng, W.-H.: Memory enhanced dynamic multi-objective evolutionary algorithm based on decomposition. J. Softw. 24, 1571\u20131588 (2014)","journal-title":"J. Softw."},{"key":"52_CR13","doi-asserted-by":"crossref","unstructured":"Wang, Y., Li, B.: Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment. In: CEC 2009, pp. 630\u2013637 (2009)","DOI":"10.1109\/CEC.2009.4983004"},{"key":"52_CR14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2012.05.001","volume":"6","author":"TT Nguyen","year":"2012","unstructured":"Nguyen, T.T., Yang, S., Branke, J.: Evolutionary dynamic optimization: a survey of the state of the art. Swarm Evol. Comput. 6, 1\u201324 (2012)","journal-title":"Swarm Evol. Comput."},{"key":"52_CR15","doi-asserted-by":"crossref","unstructured":"Hatzakis, I., Wallace, D.: Topology of anticipatory populations for evolutionary dynamic multi-objective optimization. In: 11th AIAA\/ISSMO Multidisciplinary Analysis and Optimization Conference, pp. 1\u201310 (2006)","DOI":"10.2514\/6.2006-7071"},{"key":"52_CR16","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.procs.2013.10.028","volume":"24","author":"A Muruganantham","year":"2013","unstructured":"Muruganantham, A., Zhao, Y., Gee, S.B., Qiu, X., Tan, K.C.: Dynamic multiobjective optimization using evolutionary algorithm with Kalman filter. Procedia Comput. Sci. 24, 66\u201375 (2013)","journal-title":"Procedia Comput. Sci."},{"key":"52_CR17","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","volume":"13","author":"H Li","year":"2009","unstructured":"Li, H., Zhang, Q.: Multiobjective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II. IEEE Trans. Evol. Comput. 13, 284\u2013302 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"52_CR18","doi-asserted-by":"crossref","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 Trans. Cybern. 47, 52\u201366 (2017)","journal-title":"IEEE Trans. Cybern."},{"key":"52_CR19","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1109\/TEVC.2004.831456","volume":"8","author":"M Farina","year":"2004","unstructured":"Farina, M., Deb, K., Amato, P.: Dynamic multiobjective optimization problem: test cases, approximation, and applications. IEEE Trans. Evol. Comput. 8, 425\u2013442 (2004)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"52_CR20","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1109\/TCYB.2015.2510698","volume":"47","author":"S Jiang","year":"2017","unstructured":"Jiang, S., Yang, S.: Evolutionary dynamic multiobjective optimization: benchmarks and algorithm comparisons. IEEE Trans. Cybern. 47, 198\u2013211 (2017)","journal-title":"IEEE Trans. Cybern."}],"container-title":["Lecture Notes in Computer Science","Simulated Evolution and Learning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68759-9_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T14:34:50Z","timestamp":1659623690000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68759-9_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319687582","9783319687599"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68759-9_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}