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Conference Paper: Advancement in the twentieth century in artificial immune systems for optimization: Review and future outlook

TitleAdvancement in the twentieth century in artificial immune systems for optimization: Review and future outlook
Authors
Wong, EYCLau, HYK
KeywordsArtificial immune systems
Future outlook
Optimization
Issue Date2009
Citation
Conference Proceedings - Ieee International Conference On Systems, Man And Cybernetics, 2009, p. 4195-4202 How to Cite?
DOI: http://dx.doi.org/10.1109/ICSMC.2009.5346835
AbstractResearch in Artificial Immune Systems (AIS) for optimization has attracted attention in recent years. Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving optimization problems, especially on multi-objective optimizations. Novel algorithms are design, benchmarked and applied to real life applications. This paper aims to review and outlook on the latest development of AIS-based algorithms in the recent decade. An analysis of the AIS applications is also discussed. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99929
ISSN
1062-922X
2020 SCImago Journal Rankings: 0.168
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorWong, EYCen_HK
dc.contributor.authorLau, HYKen_HK
dc.date.accessioned2010-09-25T18:49:59Z-
dc.date.available2010-09-25T18:49:59Z-
dc.date.issued2009en_HK
dc.identifier.citationConference Proceedings - Ieee International Conference On Systems, Man And Cybernetics, 2009, p. 4195-4202en_HK
dc.identifier.issn1062-922Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/99929-
dc.description.abstractResearch in Artificial Immune Systems (AIS) for optimization has attracted attention in recent years. Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving optimization problems, especially on multi-objective optimizations. Novel algorithms are design, benchmarked and applied to real life applications. This paper aims to review and outlook on the latest development of AIS-based algorithms in the recent decade. An analysis of the AIS applications is also discussed. ©2009 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofConference Proceedings - IEEE International Conference on Systems, Man and Cyberneticsen_HK
dc.subjectArtificial immune systemsen_HK
dc.subjectFuture outlooken_HK
dc.subjectOptimizationen_HK
dc.titleAdvancement in the twentieth century in artificial immune systems for optimization: Review and future outlooken_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLau, HYK:hyklau@hkucc.hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICSMC.2009.5346835en_HK
dc.identifier.scopuseid_2-s2.0-74849133083en_HK
dc.identifier.hkuros160520en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-74849133083&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage4195en_HK
dc.identifier.epage4202en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, EYC=35168258300en_HK
dc.identifier.scopusauthoridLau, HYK=7201497761en_HK
dc.identifier.issnl1062-922X-

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