Multiobjective Optimization at Evolutionary Search with Binary Choice Relations

A multiobjective optimization problem is considered, in which binary choice relations are used instead of optimized functions. To solve this problem, it is proposed to use an evolutionary random search algorithm, in which the function of choice in the form of a lock is used instead of the choice fun...

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Veröffentlicht in:	Cybernetics and systems analysis Jg. 56; H. 3; S. 449 - 454
Hauptverfasser:	Irodov, V. F., Barsuk, R. V., Chornomorets, H. Ya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2020 Springer Springer Nature B.V
Schlagworte:	Algorithms Analysis Artificial Intelligence Control Convergence Evolutionary algorithms Genetic algorithms Mathematics Mathematics and Statistics Multiple objective analysis Optimization Processor Architectures Search algorithms Searches and seizures Software Engineering/Programming and Operating Systems Systems Theory multiobjective optimization evolutionary search binary choice relations
ISSN:	1060-0396, 1573-8337
Online-Zugang:	Volltext
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