File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: An optimisation framework of dendritic cells

TitleAn optimisation framework of dendritic cells
Other TitlesAn optimization framework of dendritic cells
Authors
KeywordsArtificial Immune System
Dendritic Cells
Optimizaiton
Resources Scheduling
Signal Cascading Network
Issue Date2015
PublisherIEEE. The Proceedings' web site is located at https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7468853
Citation
The 2015 International Congress on Systems Immunology, Immunoinformatics & Immune-computation (ICSI 2015), Taormina, Sicily, Italy, 17-18 July 2015. How to Cite?
AbstractThe paradigm of a signal cascading network of Dendritic Cells (DCs) underpins T-cells priming in the human immune system, which is one of the critical cell-mediated components in the innate immunity. This study is motivated by the immunological behavior of DCs, intracellular signal processing, and the architecture of the aforementioned signaldriven network in the maturation and migration processes. In parallel with these immuno-features and problem-solving techniques, a distributed DC-inspired framework is developed for resolving optimization problems. In the context of the study, the capabilities of the proposed framework are experimented in a small-scale resources scheduling problem. As of the obtained results, sets of high-quality solutions are produced, which also provide significant insights for the further development of DCmediated framework as presented in this paper.
DescriptionCongress Theme: Immunology without Borders!
Oral Presentations Session 3
Persistent Identifierhttp://hdl.handle.net/10722/212210

 

DC FieldValueLanguage
dc.contributor.authorLau, H-
dc.contributor.authorLee, NMY-
dc.date.accessioned2015-07-21T02:27:46Z-
dc.date.available2015-07-21T02:27:46Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 International Congress on Systems Immunology, Immunoinformatics & Immune-computation (ICSI 2015), Taormina, Sicily, Italy, 17-18 July 2015.-
dc.identifier.urihttp://hdl.handle.net/10722/212210-
dc.descriptionCongress Theme: Immunology without Borders!-
dc.descriptionOral Presentations Session 3-
dc.description.abstractThe paradigm of a signal cascading network of Dendritic Cells (DCs) underpins T-cells priming in the human immune system, which is one of the critical cell-mediated components in the innate immunity. This study is motivated by the immunological behavior of DCs, intracellular signal processing, and the architecture of the aforementioned signaldriven network in the maturation and migration processes. In parallel with these immuno-features and problem-solving techniques, a distributed DC-inspired framework is developed for resolving optimization problems. In the context of the study, the capabilities of the proposed framework are experimented in a small-scale resources scheduling problem. As of the obtained results, sets of high-quality solutions are produced, which also provide significant insights for the further development of DCmediated framework as presented in this paper.-
dc.languageeng-
dc.publisherIEEE. The Proceedings' web site is located at https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7468853-
dc.relation.ispartofInternational Congress on Systems Immunology, Immunoinformatics & Immune-computation, ICSI 2015-
dc.relation.ispartof2015 International Workshop on Artificial Immune Systems (AIS)-
dc.subjectArtificial Immune System-
dc.subjectDendritic Cells-
dc.subjectOptimizaiton-
dc.subjectResources Scheduling-
dc.subjectSignal Cascading Network-
dc.titleAn optimisation framework of dendritic cells-
dc.title.alternativeAn optimization framework of dendritic cells-
dc.typeConference_Paper-
dc.identifier.emailLau, H: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, H=rp00137-
dc.identifier.doi10.1109/AISW.2015.7469243-
dc.identifier.scopuseid_2-s2.0-84974717474-
dc.identifier.hkuros245811-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats