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- Publisher Website: 10.1109/AISW.2015.7469243
- Scopus: eid_2-s2.0-84974717474
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Conference Paper: An optimisation framework of dendritic cells
Title | An optimisation framework of dendritic cells |
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Other Titles | An optimization framework of dendritic cells |
Authors | |
Keywords | Artificial Immune System Dendritic Cells Optimizaiton Resources Scheduling Signal Cascading Network |
Issue Date | 2015 |
Publisher | IEEE. 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? |
Abstract | The 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. |
Description | Congress Theme: Immunology without Borders! Oral Presentations Session 3 |
Persistent Identifier | http://hdl.handle.net/10722/212210 |
DC Field | Value | Language |
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dc.contributor.author | Lau, H | - |
dc.contributor.author | Lee, NMY | - |
dc.date.accessioned | 2015-07-21T02:27:46Z | - |
dc.date.available | 2015-07-21T02:27:46Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 International Congress on Systems Immunology, Immunoinformatics & Immune-computation (ICSI 2015), Taormina, Sicily, Italy, 17-18 July 2015. | - |
dc.identifier.uri | http://hdl.handle.net/10722/212210 | - |
dc.description | Congress Theme: Immunology without Borders! | - |
dc.description | Oral Presentations Session 3 | - |
dc.description.abstract | The 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.language | eng | - |
dc.publisher | IEEE. The Proceedings' web site is located at https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7468853 | - |
dc.relation.ispartof | International Congress on Systems Immunology, Immunoinformatics & Immune-computation, ICSI 2015 | - |
dc.relation.ispartof | 2015 International Workshop on Artificial Immune Systems (AIS) | - |
dc.subject | Artificial Immune System | - |
dc.subject | Dendritic Cells | - |
dc.subject | Optimizaiton | - |
dc.subject | Resources Scheduling | - |
dc.subject | Signal Cascading Network | - |
dc.title | An optimisation framework of dendritic cells | - |
dc.title.alternative | An optimization framework of dendritic cells | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lau, H: hyklau@hkucc.hku.hk | - |
dc.identifier.authority | Lau, H=rp00137 | - |
dc.identifier.doi | 10.1109/AISW.2015.7469243 | - |
dc.identifier.scopus | eid_2-s2.0-84974717474 | - |
dc.identifier.hkuros | 245811 | - |