Iterative MC-algorithm to solve the global optimization problems

Popkov A. Yu.; Darkhovsky B. S.; Popkov Yu. S.

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Iterative MC-algorithm to solve the global optimization problems

机译：迭代MC算法解决全局优化问题

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摘要

A new method was proposed to solve the global minimization problems of the Holder functions on compact sets obeying continuous functions. The method relies on the Monte Carlo batch processing intended for constructing the sequences of values of the "quasi-global" minima and their decrements. A numerical procedure was proposed to generate a probabilistic stopping rule whose operability was corroborated by numerous tests and benchmarks with algorithmically defined functions.

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《Automation and Remote Control》 |2017年第2期|共15页
作者
Popkov A. Yu.; Darkhovsky B. S.; Popkov Yu. S.;
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作者单位

Russian Acad Sci Inst Syst Anal Moscow Russia;

Russian Acad Sci Inst Syst Anal Moscow Russia;

Russian Acad Sci Inst Syst Anal Moscow Russia;

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原文格式 PDF
正文语种 eng
中图分类远动化系统;
关键词
global optimization; batch Monte Carlo iterations; Holder constants;

机译：全局优化;批量蒙特卡罗迭代;持有人常数;

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Iterative MC-algorithm to solve the global optimization problems

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