電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<ソフトコンピューティング・学習>
最大エントロピー法に基づくDifferential Evolutionの探索点分布解析
小熊 祐司相吉 英太郎
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ジャーナル 認証あり

2014 年 134 巻 9 号 p. 1341-1347

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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.

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