Solving complex multiobjective optimization problems with the modified heuristic stochastic algorithms of direct search

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In this paper the analysis of efficiency of automatically adjusting genetic algorithm and adaptive hybrid stochastic procedure has been fulfilled on representative set of test and real world economical problems. It has been proved that the developed modifications outperform the standard genetic algorithm.

Genetic algorithm, adaptive hybrid stochastic procedure, multi-criteria optimization, automatical adjustment

Короткий адрес: https://sciup.org/148176312

IDR: 148176312

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