複数のネットワークを用いた調整ノード付きGenetic Network Programmingの改良-Hiroshima City University Institutional Repository

Recently many methods are proposed for behavior acquisition of agents using Genetic Algorithm(GA), Genetic Programming(GP), and Genetic Network Programming(GNP). Especially, methods using GNP have shown good performance. Also, methods that improve GNP are proposed such as GNP with control nodes(GNPCN) and GNPCN using multiple networks(GNPCM). We propose a method to improve GNPCM introducing the effective network. The efficient network is a network that consists of nodes reached from a control node. We show effectiveness of our method by applying to a garbage collector problem.

Journal Title

2011 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2011 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

Spage

Epage

Published Date

2011-07

Publisher

IEEE SMC Hiroshima Chapter

Language

jpn

NIIType

Conference Paper

Text Version

著者版

Rights

Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting or republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Relation URL

http://www.smc-hiroshima.info.hiroshima-cu.ac.jp/

Note

2011 IEEE SMC Hiroshima Chapter若手研究会, 2011年7月9日, 広島市立大学

Old URI

http://harp.lib.hiroshima-u.ac.jp/handle/harp/9257

Set

hiroshima-cu