Effectiveness investigation of coevolutionary genetic algorithm for constrained optimization problems

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The effectiveness of coevolutionary genetic algorithm and individual conventional genetic algorithms for constrained optimization problems is compared with testing and applied tasks. The coevolutionary algorithm is demonstrated to be not less effective than the best one for problem-in-hand individual conventional genetic algorithm.

Constrained optimization, genetic algorithm, coevolution, investments, credits

Короткий адрес: https://sciup.org/148175991

IDR: 148175991

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