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Article: Immunologic control framework for automated material handling

TitleImmunologic control framework for automated material handling
Authors
Issue Date2003
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2003, v. 2787, p. 57-68 How to Cite?
AbstractAn Artificial Immune System (AIS) paradigm, which is an engineering analogue to the human immune system, is adopted to deliver the performance and robustness required by a multi-vehicle based delivery system in an automated warehouse. AIS offers a number of profound features and solutions, including the ability to detect changes, coordinate vehicle activities for goals achievement and adapt to new information encountered, to the control of such distributed material handling systems. By adopting some of these mechanisms of AIS adapted to specify and implement the behaviour of warehouse delivery vehicles, an architecture that defines the control framework is developed. This control framework improves the efficiency of a multi-agent system as demonstrated by computer simulations presented. © Springer-Verlag Berlin Heidelberg 2003.
Persistent Identifierhttp://hdl.handle.net/10722/100210
ISSN
2005 Impact Factor: 0.302
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HYKen_HK
dc.contributor.authorWong, VWKen_HK
dc.date.accessioned2010-09-25T19:01:02Z-
dc.date.available2010-09-25T19:01:02Z-
dc.date.issued2003en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2003, v. 2787, p. 57-68en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/100210-
dc.description.abstractAn Artificial Immune System (AIS) paradigm, which is an engineering analogue to the human immune system, is adopted to deliver the performance and robustness required by a multi-vehicle based delivery system in an automated warehouse. AIS offers a number of profound features and solutions, including the ability to detect changes, coordinate vehicle activities for goals achievement and adapt to new information encountered, to the control of such distributed material handling systems. By adopting some of these mechanisms of AIS adapted to specify and implement the behaviour of warehouse delivery vehicles, an architecture that defines the control framework is developed. This control framework improves the efficiency of a multi-agent system as demonstrated by computer simulations presented. © Springer-Verlag Berlin Heidelberg 2003.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleImmunologic control framework for automated material handlingen_HK
dc.typeArticleen_HK
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-21144433601en_HK
dc.identifier.hkuros85984en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21144433601&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2787en_HK
dc.identifier.spage57en_HK
dc.identifier.epage68en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridLau, HYK=7201497761en_HK
dc.identifier.scopusauthoridWong, VWK=8314372800en_HK

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