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Article: Immunologic control framework for automated material handling
Title | Immunologic control framework for automated material handling |
---|---|
Authors | |
Issue Date | 2003 |
Publisher | Springer 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? |
Abstract | An 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 Identifier | http://hdl.handle.net/10722/100210 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
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dc.contributor.author | Lau, HYK | en_HK |
dc.contributor.author | Wong, VWK | en_HK |
dc.date.accessioned | 2010-09-25T19:01:02Z | - |
dc.date.available | 2010-09-25T19:01:02Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2003, v. 2787, p. 57-68 | en_HK |
dc.identifier.issn | 0302-9743 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/100210 | - |
dc.description.abstract | An 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.language | eng | en_HK |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_HK |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_HK |
dc.title | Immunologic control framework for automated material handling | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Lau, HYK:hyklau@hkucc.hku.hk | en_HK |
dc.identifier.authority | Lau, HYK=rp00137 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-21144433601 | en_HK |
dc.identifier.hkuros | 85984 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-21144433601&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 2787 | en_HK |
dc.identifier.spage | 57 | en_HK |
dc.identifier.epage | 68 | en_HK |
dc.publisher.place | Germany | en_HK |
dc.identifier.scopusauthorid | Lau, HYK=7201497761 | en_HK |
dc.identifier.scopusauthorid | Wong, VWK=8314372800 | en_HK |
dc.identifier.issnl | 0302-9743 | - |