Ausgabe 2/2022
Thematic issue on knowledge and data driven evolutionary multi-objective optimization
Inhalt (9 Artikel)
Guest Editorial
Thematic issue on knowledge and data driven evolutionary multi-objective optimization
Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin
Regular Research Paper
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
Julian Blank, Kalyanmoy Deb
Open Access
Regular research paper
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations
Roy de Winter, Philip Bronkhorst, Bas van Stein, Thomas Bäck
Regular research paper
Solving large-scale multiobjective optimization via the probabilistic prediction model
Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
Regular research paper
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion
Zhenshou Song, Handing Wang, Hongbin Xu
Regular research paper
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems
Qihao Liu, Xinyu Li, Liang Gao, Guangchen Wang
Regular research paper
Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network
Chengyu Hu, Qiuming Wang, Wenyin Gong, Xuesong Yan
Open Access
Regular research paper
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
Jiangjiao Xu, Ke Li, Mohammad Abusara
Regular research paper
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao