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

Yuji Koguma, Eitaro Aiyoshi

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)1341-1347
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Volume134
Issue number9
DOIs
Publication statusPublished - 2014

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Maximum entropy methods
Probability distributions

Keywords

  • Differential evolution
  • Maximum entropy method
  • Meta-heuristics
  • Stochastic optimization method

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Search points distribution analysis for differential evolution based on maximum entropy method. / Koguma, Yuji; Aiyoshi, Eitaro.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 134, No. 9, 2014, p. 1341-1347.

Research output: Contribution to journalArticle

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