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Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Lecture Notes in Computer Science
Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic optimization problems is to utilize history information to guide future search. In this paper, two strategies for population re-initialization are introduced when a change in the environment is detected. The first strategy is to predict the new location of individuals from the location changes that have occurred in the history. Thedoi:10.1007/978-3-540-70928-2_62 dblp:conf/emo/ZhouJZST06 fatcat:qen76nhsfvhbtazhzw3g3systy