UDC 519.816
1 Prydniprovska State Academy of Civil Engineering and Architecture, Dnipro, Ukraine
 vfirodov@i.ua
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2 Prydniprovska State Academy of Civil Engineering and Architecture, Dnipro, Ukraine
ChHYa@i.ua
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MULTI-OBJECTIVE OPTIMIZATION AT EVOLUTIONARY SEARCH
WITH BINARY CHOICE RELATIONS
Abstract. A multi-objective 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 instead of the choice function in the form of preference, the function of choice in the form of a lock is used. The convergence of the proposed evolutionary algorithms is analyzed, and sufficient conditions for convergence are formulated. The results of the proposed evolutionary search are compared with the results of well-known evolutionary algorithms for one test problem.
Keywords: evolutionary search, multi-objective optimization, binary choice relations.
FULL TEXT
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