A compact multiagent system based on autonomy oriented computing

Xiao Feng Xie*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

A compact multiagent optimization system (MAOSC) based on autonomy oriented computing (AOC) is presented. Performed by a society of autonomous entities in iterative cycles, an optimization algorithm can simply be described by a macro generate-and-test behavior, which deploys a few elemental generating behaviors under conditioned reflex behaviors supported by a testing operation library. MAOSC provides a simple framework for not only realizing and comparing algorithms, but also deploying evolvable algorithms. The experimental results of MAOSC cases on benchmark functions are compared with those of other algorithms, which show its efficiency.

Original languageEnglish
Title of host publicationProceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Pages38-44
Number of pages7
DOIs
Publication statusPublished - 2005
Event2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - France, France
Duration: 19 Sep 200522 Sep 2005

Publication series

NameProceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
Volume2005

Conference

Conference2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Country/TerritoryFrance
CityFrance
Period19/09/0522/09/05

Scopus Subject Areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'A compact multiagent system based on autonomy oriented computing'. Together they form a unique fingerprint.

Cite this