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Article: A cooperative control model for multiagent-based material handling systems

TitleA cooperative control model for multiagent-based material handling systems
Authors
KeywordsArtificial Immune System
Distributed control
Multiagent system
Issue Date2009
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems With Applications, 2009, v. 36 n. 1, p. 233-247 How to Cite?
AbstractThis paper presents an Artificial Immune System (AIS)-based model for cooperative control of multiagent systems. This cooperative control model describes collective behaviors of autonomous agents, known as the AIS agents that are exemplified by the regulated activities performed by individual agents under the computation paradigm of Artificial Immune System. The regulations and emergence of agent behaviors are derived from the immune threshold measures that determine those activities performed by the AIS agents at an individual level. These threshold measures together with the collective behavioral model defined the cooperative control of the AIS-based control framework under which AIS agents behave and act strategically according to the changing environment. The cooperative control model is presented under the three domains, namely exploration, achievement and cooperation domains where AIS agents operate. In this research, we implemented the proposed cooperative control model with a case study of automated material handling with a group of AIS agents that cooperate to achieve the defined tasks. © 2007 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74399
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HYKen_HK
dc.contributor.authorWong, VWKen_HK
dc.contributor.authorNg, AKSen_HK
dc.date.accessioned2010-09-06T07:00:57Z-
dc.date.available2010-09-06T07:00:57Z-
dc.date.issued2009en_HK
dc.identifier.citationExpert Systems With Applications, 2009, v. 36 n. 1, p. 233-247en_HK
dc.identifier.issn0957-4174en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74399-
dc.description.abstractThis paper presents an Artificial Immune System (AIS)-based model for cooperative control of multiagent systems. This cooperative control model describes collective behaviors of autonomous agents, known as the AIS agents that are exemplified by the regulated activities performed by individual agents under the computation paradigm of Artificial Immune System. The regulations and emergence of agent behaviors are derived from the immune threshold measures that determine those activities performed by the AIS agents at an individual level. These threshold measures together with the collective behavioral model defined the cooperative control of the AIS-based control framework under which AIS agents behave and act strategically according to the changing environment. The cooperative control model is presented under the three domains, namely exploration, achievement and cooperation domains where AIS agents operate. In this research, we implemented the proposed cooperative control model with a case study of automated material handling with a group of AIS agents that cooperate to achieve the defined tasks. © 2007 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswaen_HK
dc.relation.ispartofExpert Systems with Applicationsen_HK
dc.subjectArtificial Immune Systemen_HK
dc.subjectDistributed controlen_HK
dc.subjectMultiagent systemen_HK
dc.titleA cooperative control model for multiagent-based material handling systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0957-4174&volume=38&issue=3&spage=233 &epage= 247&date=2008&atitle=A+Cooperative+control+model+for+multiagent-based+material+handling+systemsen_HK
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.eswa.2007.09.025en_HK
dc.identifier.scopuseid_2-s2.0-53849129937en_HK
dc.identifier.hkuros143653en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-53849129937&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume36en_HK
dc.identifier.issue1en_HK
dc.identifier.spage233en_HK
dc.identifier.epage247en_HK
dc.identifier.eissn1873-6793-
dc.identifier.isiWOS:000264182800025-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLau, HYK=7201497761en_HK
dc.identifier.scopusauthoridWong, VWK=8314372800en_HK
dc.identifier.scopusauthoridNg, AKS=7202763566en_HK

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