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Article: Integrated process planning and scheduling by an agent-based ant colony optimization

TitleIntegrated process planning and scheduling by an agent-based ant colony optimization
Authors
Leung, CWWong, TNMak, KLFung, RYK
KeywordsAnt colony optimization
Multi-agent system
Process planning and scheduling
Issue Date2010
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie
Citation
Computers And Industrial Engineering, 2010, v. 59 n. 1, p. 166-180 How to Cite?
DOI: http://dx.doi.org/10.1016/j.cie.2009.09.003
AbstractThis paper presents an ant colony optimization (ACO) algorithm in an agent-based system to integrate process planning and shopfloor scheduling (IPPS). The search-based algorithm which aims to obtain optimal solutions by an autocatalytic process is incorporated into an established multi-agent system (MAS) platform, with advantages of flexible system architectures and responsive fault tolerance. Artificial ants are implemented as software agents. A graph-based solution method is proposed with the objective of minimizing makespan. Simulation studies have been established to evaluate the performance of the ant approach. The experimental results indicate that the ACO algorithm can effectively solve the IPPS problems and the agent-based implementation can provide a distributive computation of the algorithm. © 2010 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/124757
ISSN
0360-8352
2021 Impact Factor: 7.180
2020 SCImago Journal Rankings: 1.315
ISI Accession Number ID
WOS:000278883100019
Funding AgencyGrant Number
Research Grants Council of Hong KongHKU 7208/03E
Funding Information:

The work described in this thesis is fully supported by a grant from the Research Grants Council of Hong Kong (Project No. HKU 7208/03E).

References
References in Scopus
Grants
Design and implementation of negotiation protocols for multi-agents to integrate manufacturing process planning and scheduling

 

DC FieldValueLanguage
dc.contributor.authorLeung, CWen_HK
dc.contributor.authorWong, TNen_HK
dc.contributor.authorMak, KLen_HK
dc.contributor.authorFung, RYKen_HK
dc.date.accessioned2010-10-31T10:52:24Z-
dc.date.available2010-10-31T10:52:24Z-
dc.date.issued2010en_HK
dc.identifier.citationComputers And Industrial Engineering, 2010, v. 59 n. 1, p. 166-180en_HK
dc.identifier.issn0360-8352en_HK
dc.identifier.urihttp://hdl.handle.net/10722/124757-
dc.description.abstractThis paper presents an ant colony optimization (ACO) algorithm in an agent-based system to integrate process planning and shopfloor scheduling (IPPS). The search-based algorithm which aims to obtain optimal solutions by an autocatalytic process is incorporated into an established multi-agent system (MAS) platform, with advantages of flexible system architectures and responsive fault tolerance. Artificial ants are implemented as software agents. A graph-based solution method is proposed with the objective of minimizing makespan. Simulation studies have been established to evaluate the performance of the ant approach. The experimental results indicate that the ACO algorithm can effectively solve the IPPS problems and the agent-based implementation can provide a distributive computation of the algorithm. © 2010 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/cieen_HK
dc.relation.ispartofComputers and Industrial Engineeringen_HK
dc.subjectAnt colony optimizationen_HK
dc.subjectMulti-agent systemen_HK
dc.subjectProcess planning and schedulingen_HK
dc.titleIntegrated process planning and scheduling by an agent-based ant colony optimizationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0360-8352&volume=59&issue=1&spage=166&epage=180&date=2010&atitle=Integrated+process+planning+and+scheduling+by+an+agent-based+ant+colony+optimizationen_HK
dc.identifier.emailWong, TN: tnwong@hku.hken_HK
dc.identifier.emailMak, KL: makkl@hkucc.hku.hken_HK
dc.identifier.authorityWong, TN=rp00192en_HK
dc.identifier.authorityMak, KL=rp00154en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.cie.2009.09.003en_HK
dc.identifier.scopuseid_2-s2.0-77955268719en_HK
dc.identifier.hkuros179342en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955268719&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume59en_HK
dc.identifier.issue1en_HK
dc.identifier.spage166en_HK
dc.identifier.epage180en_HK
dc.identifier.isiWOS:000278883100019-
dc.publisher.placeUnited Kingdomen_HK
dc.relation.projectDesign and implementation of negotiation protocols for multi-agents to integrate manufacturing process planning and scheduling-
dc.identifier.scopusauthoridLeung, CW=22334418700en_HK
dc.identifier.scopusauthoridWong, TN=55301015400en_HK
dc.identifier.scopusauthoridMak, KL=7102680226en_HK
dc.identifier.scopusauthoridFung, RYK=7101741904en_HK
dc.identifier.citeulike5787794-
dc.identifier.issnl0360-8352-

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