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Article: Integrated process planning and scheduling by an agent-based ant colony optimization
Title | Integrated process planning and scheduling by an agent-based ant colony optimization | ||||
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Authors | |||||
Keywords | Ant colony optimization Multi-agent system Process planning and scheduling | ||||
Issue Date | 2010 | ||||
Publisher | Pergamon. 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? | ||||
Abstract | This 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 Identifier | http://hdl.handle.net/10722/124757 | ||||
ISSN | 2023 Impact Factor: 6.7 2023 SCImago Journal Rankings: 1.701 | ||||
ISI Accession Number ID |
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 | |||||
Grants |
DC Field | Value | Language |
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dc.contributor.author | Leung, CW | en_HK |
dc.contributor.author | Wong, TN | en_HK |
dc.contributor.author | Mak, KL | en_HK |
dc.contributor.author | Fung, RYK | en_HK |
dc.date.accessioned | 2010-10-31T10:52:24Z | - |
dc.date.available | 2010-10-31T10:52:24Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | Computers And Industrial Engineering, 2010, v. 59 n. 1, p. 166-180 | en_HK |
dc.identifier.issn | 0360-8352 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/124757 | - |
dc.description.abstract | This 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.language | eng | en_HK |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie | en_HK |
dc.relation.ispartof | Computers and Industrial Engineering | en_HK |
dc.subject | Ant colony optimization | en_HK |
dc.subject | Multi-agent system | en_HK |
dc.subject | Process planning and scheduling | en_HK |
dc.title | Integrated process planning and scheduling by an agent-based ant colony optimization | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+optimization | en_HK |
dc.identifier.email | Wong, TN: tnwong@hku.hk | en_HK |
dc.identifier.email | Mak, KL: makkl@hkucc.hku.hk | en_HK |
dc.identifier.authority | Wong, TN=rp00192 | en_HK |
dc.identifier.authority | Mak, KL=rp00154 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.cie.2009.09.003 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77955268719 | en_HK |
dc.identifier.hkuros | 179342 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77955268719&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 59 | en_HK |
dc.identifier.issue | 1 | en_HK |
dc.identifier.spage | 166 | en_HK |
dc.identifier.epage | 180 | en_HK |
dc.identifier.isi | WOS:000278883100019 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.relation.project | Design and implementation of negotiation protocols for multi-agents to integrate manufacturing process planning and scheduling | - |
dc.identifier.scopusauthorid | Leung, CW=22334418700 | en_HK |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_HK |
dc.identifier.scopusauthorid | Mak, KL=7102680226 | en_HK |
dc.identifier.scopusauthorid | Fung, RYK=7101741904 | en_HK |
dc.identifier.citeulike | 5787794 | - |
dc.identifier.issnl | 0360-8352 | - |