Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only between generations. In this paper, we take a first look at possibilities to handle a change during a generation. For that purpose, we derive an analytical model for a (1, 2) evolution strategy and show that sometimes it is better to ignore the environmental change until the end of the generation, than to evaluate each individual with the most up-to-date fitness function. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Branke, J., & Wang, W. (2003). Theoretical analysis of simple evolution strategies in quickly changing environments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 537–548. https://doi.org/10.1007/3-540-45105-6_66
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