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Опис документа

Sineglazov V., Riazanovskiy K., Chumachencko O.
Multicriteria conditional optimization based on genetic algorithms

Вид документа:  Складова частина документа 
Мова:  Англійська  Обсяг:  P. 89-104 
УДК:  519.925.50 

Аннотацiя:

This article takes on solving the problem of multicriteria conditional op-timization. This problem is one of the most key tasks of the current time and has its application in many areas. Reuse of various existing algorithms for solving uncon-strained optimization is proposed. Different methods of multicriteria unconditional optimization are reviewed. The advantages and disadvantages of each algorithm are analyzed. The algorithms modified to take into account the constraints. Additional algorithms of transition from solving an unconditional optimization problem to a conditional optimization problem are developed. A genetic algorithm SPEA2 was used to test the developed algorithms. Examples of solving the problem at hand using the aforementioned algorithms are presented. A comparative analysis of the final results was conducted.

Є складовою частиною документа Системні дослідження та інформаційні технології [Текст] = System research & information technologies : міжнар. наук.-техн. журнал. № 3 / ННК "Ін-т прикладного систем. аналізу" НТУУ "КПІ" МОН та НАН України. — Київ : ВПК "Політехніка", 2020.

Теми документа

• УДК/5 Математика та природничi науки/51 Математика