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Conference Paper: An optimization framework for modeling and simulation of dynamic systems based on AIS

TitleAn optimization framework for modeling and simulation of dynamic systems based on AIS
Authors
KeywordsSimulation
Optimization
Artificial intelligence
Artificial immune systems
Issue Date2011
PublisherInternational Federation of Automatic Control (IFAC)
Citation
The 18th IFAC World Congress (IFAC 2011), Milano, Italy, 28 August-2 September 2011. In Conference Proceedings, 2011, p. 11608-11613 How to Cite?
AbstractModeling and simulation can be used in many contexts for gaining insights into the functioning, performance, and operation, of complex systems. However, this method alone often produces feasible solutions under certain operating conditions of a system in which such solutions may not be optimal. This is inevitably inadequate in circumstances where optimality is required. In this respect, an approach to effectively evaluate and optimize system performance is to couple the simulation model with operations research techniques. In this paper, an optimization framework consisting of a simulation model and an immunity-inspired algorithm is proposed for optimizing the key parameters in the domain of automatic material handling.
Persistent Identifierhttp://hdl.handle.net/10722/140308

 

DC FieldValueLanguage
dc.contributor.authorLeung, CSKen_US
dc.contributor.authorLau, HYKen_US
dc.date.accessioned2011-09-23T06:10:01Z-
dc.date.available2011-09-23T06:10:01Z-
dc.date.issued2011en_US
dc.identifier.citationThe 18th IFAC World Congress (IFAC 2011), Milano, Italy, 28 August-2 September 2011. In Conference Proceedings, 2011, p. 11608-11613en_US
dc.identifier.urihttp://hdl.handle.net/10722/140308-
dc.description.abstractModeling and simulation can be used in many contexts for gaining insights into the functioning, performance, and operation, of complex systems. However, this method alone often produces feasible solutions under certain operating conditions of a system in which such solutions may not be optimal. This is inevitably inadequate in circumstances where optimality is required. In this respect, an approach to effectively evaluate and optimize system performance is to couple the simulation model with operations research techniques. In this paper, an optimization framework consisting of a simulation model and an immunity-inspired algorithm is proposed for optimizing the key parameters in the domain of automatic material handling.-
dc.languageengen_US
dc.publisherInternational Federation of Automatic Control (IFAC)-
dc.relation.ispartofProceedings of IFAC World Congress, IFAC 2011en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectSimulation-
dc.subjectOptimization-
dc.subjectArtificial intelligence-
dc.subjectArtificial immune systems-
dc.titleAn optimization framework for modeling and simulation of dynamic systems based on AISen_US
dc.typeConference_Paperen_US
dc.identifier.emailLeung, CSK: chris06@hku.hken_US
dc.identifier.emailLau, HYK: hyklau@hku.hk-
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-84866774669-
dc.identifier.hkuros196102en_US
dc.identifier.spage11608-
dc.identifier.epage11613-
dc.publisher.placeItaly-
dc.description.otherThe 18th IFAC World Congress (IFAC 2011), Milano, Italy, 28 August-2 September 2011. In Conference Proceedings, 2011, p. 11608-11613-

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