File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A cooperative multi-objective optimization framework based on dendritic cells migration dynamics

TitleA cooperative multi-objective optimization framework based on dendritic cells migration dynamics
Authors
Issue Date2012
PublisherSpringer London.
Citation
The 32nd SGAI International Conference on Artificial Intelligence (AI-2012), Cambridge, United Kingdom, 11-13 December 2012. In Research and Development in Intelligent Systems XXIX, 2012, p. 201-206 How to Cite?
AbstractClonal Selection and Immune Network Theory are commonly adopted for resolving optimization problems. Here, the mechanisms of migration and maturation of Dendritic Cells (DCs) is adopted for pursuing pareto optimal solution( s) in complex problems, specifically, the adoption of multiple characters of distinct clones of DCs and the immunological control parameters in the process of signal cascading. Such an unconventional approach, namely, DC-mediated Signal Cascading Framework further exploits the intrinsic abilities of DCs, with the added benefit of overcoming some of the limitations of conventional optimization algorithms, such as convergence of the Pareto Front.
DescriptionConference Theme: Innovative Techniques and Applications of Artificial Intelligence
Sub-title of book: Incorporating Applications and Innovations in Intelligent Systems XX Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Persistent Identifierhttp://hdl.handle.net/10722/165340
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLee, NMYen_US
dc.contributor.authorLau, HYKen_US
dc.date.accessioned2012-09-20T08:17:17Z-
dc.date.available2012-09-20T08:17:17Z-
dc.date.issued2012en_US
dc.identifier.citationThe 32nd SGAI International Conference on Artificial Intelligence (AI-2012), Cambridge, United Kingdom, 11-13 December 2012. In Research and Development in Intelligent Systems XXIX, 2012, p. 201-206en_US
dc.identifier.isbn978-1-4471-4738-1-
dc.identifier.urihttp://hdl.handle.net/10722/165340-
dc.descriptionConference Theme: Innovative Techniques and Applications of Artificial Intelligence-
dc.descriptionSub-title of book: Incorporating Applications and Innovations in Intelligent Systems XX Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence-
dc.description.abstractClonal Selection and Immune Network Theory are commonly adopted for resolving optimization problems. Here, the mechanisms of migration and maturation of Dendritic Cells (DCs) is adopted for pursuing pareto optimal solution( s) in complex problems, specifically, the adoption of multiple characters of distinct clones of DCs and the immunological control parameters in the process of signal cascading. Such an unconventional approach, namely, DC-mediated Signal Cascading Framework further exploits the intrinsic abilities of DCs, with the added benefit of overcoming some of the limitations of conventional optimization algorithms, such as convergence of the Pareto Front.-
dc.languageengen_US
dc.publisherSpringer London.-
dc.relation.ispartofResearch and Development in Intelligent Systems XXIXen_US
dc.titleA cooperative multi-objective optimization framework based on dendritic cells migration dynamicsen_US
dc.typeConference_Paperen_US
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hken_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.identifier.doi10.1007/978-1-4471-4739-8_15-
dc.identifier.hkuros209429en_US
dc.identifier.spage201-
dc.identifier.epage206-
dc.publisher.placeUnited Kingdom-
dc.customcontrol.immutablesml 130812-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats