Paper Info
Title
Evolutionary Computation for Intelligent Agents Based on Chaotic Retrieval and Soft DNA
Abstract
This paper proposes a chaotic evolutionary computation algorithm instead of conventional GA (Genetic Algorithm) for such intelligent agents as welfare robots which assist humans. This evolutionary computation is realized by applying chaotic retrieval and Soft DNA (Soft computing oriented Data driven fuNctional scheduling Architecture) on associative memories. We apply this evolutionary computation to multi-agent robots which move abreast and ITS(Intelligent Transport System). Essentially, the process of this evolutionary computation is parallel processing. Therefore, we implement its parallel processing algorithm on A-NET (Actors NETwork) parallel object-oriented computer, and show the usefulness of parallel processing for proposed evolutionary computation.
Year
DOI
Venue
1998
10.1007/3-540-48873-1_33
SEAL
Keywords
Field
DocType
chaotic retrieval,parallel processing algorithm,actors network,genetic algorithm,proposed evolutionary computation,soft dna,intelligent agents,intelligent transport system,evolutionary computation,parallel processing,chaotic evolutionary computation algorithm,parallel object-oriented computer,associative memory,soft computing,object oriented,intelligent agent,evolutionary computing
Interactive evolutionary computation,Human-based computation,Human-based evolutionary computation,Evolutionary algorithm,Computer science,Evolutionary computation,Artificial intelligence,Genetic representation,Cultural algorithm,Evolutionary programming,Distributed computing
Conference
Volume
ISSN
ISBN
1585
0302-9743
3-540-65907-2
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Naoki Kohata101.35
Makoto Sato200.34
Toru Yamaguchi312.40
Takanobu Baba47127.53
Hideki Hashimoto500.34