A remark on solving minimax problems with coevolution
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Minimax optimization problems are relevant to research in scheduling, mechanical structure optimization, network design and constrained optimization. Recent papers have demonstrated that coevolutionary algorithms have a potential for solving this kind of problem. In the present paper it is argued that the approaches used so far will fail if the problem does not have a symmetric property. A new approach solves the problem.
[1] Jeffrey W. Herrmann,et al. A genetic algorithm for minimax optimization problems , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).