caa a22 4500 605470790 CHVBK 20210128100330.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00500-014-1470-y doi (NATIONALLICENCE)springer-10.1007/s00500-014-1470-y An orthogonal predictive model-based dynamic multi-objective optimization algorithm [Elektronische Daten] [Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao] In this paper, a new dynamic multi-objective optimization evolutionary algorithm is proposed for tracking the Pareto-optimal set of time-changing multi-objective optimization problems effectively. In the proposed algorithm, to select individuals which are best suited for a new time from the historical optimal sets, an orthogonal predictive model is presented to predict the new individuals after the environment change is detected. Also, to converge to optimal front more quickly, an modified multi-objective optimization evolutionary algorithm based on decomposition is adopted. The proposed method has been extensively compared with other three dynamic multi-objective evolutionary algorithms over several benchmark dynamic multi-objective optimization problems. The experimental results indicate that the proposed algorithm achieves competitive results. Springer-Verlag Berlin Heidelberg, 2014 Dynamic environment nationallicence Multi-objective optimization nationallicence Decomposition nationallicence Forecasting model nationallicence Liu Ruochen Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Niu Xu Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Fan Jing Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Mu Caihong Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Jiao Licheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Soft Computing Springer Berlin Heidelberg 19/11(2015-11-01), 3083-3107 1432-7643 19:11<3083 2015 19 500 https://doi.org/10.1007/s00500-014-1470-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1470-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Ruochen Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Niu Xu Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Fan Jing Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Mu Caihong Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Jiao Licheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, No. 2 South Taibai Road, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/11(2015-11-01), 3083-3107 1432-7643 19:11<3083 2015 19 500