Search points distribution analysis for differential evolution based on maximum entropy method

Yuji Koguma, Eitaro Aiyoshi

研究成果: Article査読

抄録

Recently, a paradigm of optimization method called meta-heuristic (MH) has attracted interest for its applicability. However, the most part of MHs have insufficient mathematical background in their dynamics. Some of MHs adopt pseudo-random numbers generated by a computer in their algorithm so that they are called "stochastic optimization methods". As for stochastic optimization methods, the positions of search points are able to be regarded as stochastic variables which are distributed according to a certain probability distribution. In this paper, we perform an analysis of search points distribution for DE dynamics based on maximum entropy method.

本文言語English
ページ(範囲)1341-1347
ページ数7
ジャーナルIEEJ Transactions on Electronics, Information and Systems
134
9
DOI
出版ステータスPublished - 2014

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「Search points distribution analysis for differential evolution based on maximum entropy method」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル