Multiobjective Optimization at Evolutionary Search with Binary Choice Relations

被引：2
|
作者：
Irodov, V. F. [1 ]
Barsuk, R., V [1 ]
Chornomorets, H. Ya [1 ]
机构：
[1] Prydniprovska State Acad Civil Engn & Architectur, Dnipro, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 2020年 / 56卷 / 03期
关键词：
evolutionary search; multiobjective optimization; binary choice relations;
D O I：
10.1007/s10559-020-00260-7
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 function in the form of a preference,. 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.
引用
收藏
页码：449 / 454
页数：6
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