The effect of vesicular selection in dynamic environments

Authors:
Yun-Geun Lee;Robert I. McKay;Xuan Hoai Nguyen;Dong-Kyun Kim
Affiliations:
Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea
Venue:
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Year:
2009

Citing 2
Cited 0

Investigating vesicular selection

Applied Soft Computing
Population-Based Incremental Learning With Associative Memory for Dynamic Environments

IEEE Transactions on Evolutionary Computation

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Abstract

In this paper, we investigate the value of a new selection mechanism that is inspired from biochemistry, namely, vesicular selection. We test its effectiveness when used in evolutionary algorithms on a number of benchmark problems in both static and dynamic environments. The results suggest beneficial attributes for the new selection mechanism.