A Simple Evolution Strategy to Solve Constrained Optimization Problems
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In this paper, we argue that the self-adaptation mechanism of a conventional evolu-tion strategy combined with some (very simple) tournament rules based on feasibilitysimilar to some previous proposals (e.g., [1]) can provide us with a highly competitiveevolutionary algorithm for constrained optimization. In our proposal, however, no extramechanisms are provided to maintain diversity. In order to verify our hypothesis, weperformed a small comparative study among five different types of ES: (
[1] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[2] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .