メモリと予測を用いた種分化を行う遺伝的アルゴリズムによる動的に変化する多峰性問題の最適化

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/7333
File
Title
メモリと予測を用いた種分化を行う遺伝的アルゴリズムによる動的に変化する多峰性問題の最適化
Title Alternative
Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization
Author
氏名 市村 匠
ヨミ イチムラ タクミ
別名 ICHIMURA Takumi
氏名 井上 寛
ヨミ イノウエ ヒロシ
別名 INOUE Hiroshi
氏名 原 章
ヨミ ハラ アキラ
別名 HARA Akira
氏名 高濱 徹行
ヨミ タカハマ テツユキ
別名 TAKAHAMA Tetsuyuki
Abstract

It is difficult problems for Evolutionary Algorithms to search an optimal solution in multimodal functions with dynamic environments, where individuals search more than one optima and their fitness value changes under such environments. In this paper we propose a method of Memory and Prediction Based Genetic Algorithm Using speciation. This method is extended with a case-based memory and a meta-learner for precise prediction of environmental change. Especially, the individuals in a memory consist of 4 kinds of predictors and they can adjust to the change of dynamic environment adaptively. To verify the effectiveness, the method is examined to search optimal solutions in multimodal functions.

Journal Title
第15回日本知能情報ファジィ学会中国・四国支部大会講演論文集
Spage
9
Epage
12
Published Date
2010-12-04
Publisher
日本知能情報ファジィ学会
Language
jpn
NIIType
Conference Paper
Text Version
出版社版
Rights
日本知能情報ファジィ学会
Relation
Copyright (c) 2010 日本知能情報ファジィ学会
Relation URL
Old URI
Set
hiroshima-cu