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Conference Paper: An artificial immune system-based many-objective optimization algorithm with Network Activation Scheme
Title | An artificial immune system-based many-objective optimization algorithm with Network Activation Scheme |
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Authors | |
Issue Date | 2013 |
Publisher | The MIT Press. |
Citation | The 12th European Conference on Artificial Life (ECAL 2013), Taormina, Italy, 2-6 September 2013. In Advances in Artificial Life, ECAL 2013, 2013, p. 872-873 How to Cite? |
Abstract | In the research of multi-objective optimization algorithm, evolutionary algorithms have considered to be very successful tools. Artificial Immune System (AIS)-based algorithms as one of the viable alternative have also be widely developed in this domain. Over the years, researchers of evolutionary algorithms have extended their interest to many-objective situations; however works in AIS-based algorithms is rather scattered. This paper extends an AIS-based optimization algorithm to solve such many-objective optimization problems. The idea of ε-dominance and the holistic model of the immune network theory have been adopted to enhance the exploitation ability aiming for a quick convergence. |
Description | Artificial Immune Systems - ICARIS |
Persistent Identifier | http://hdl.handle.net/10722/189935 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Tsang, WWP | en_US |
dc.contributor.author | Lau, HYK | en_US |
dc.date.accessioned | 2013-09-17T15:03:08Z | - |
dc.date.available | 2013-09-17T15:03:08Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 12th European Conference on Artificial Life (ECAL 2013), Taormina, Italy, 2-6 September 2013. In Advances in Artificial Life, ECAL 2013, 2013, p. 872-873 | en_US |
dc.identifier.isbn | 978-0-262-31709-2 | - |
dc.identifier.uri | http://hdl.handle.net/10722/189935 | - |
dc.description | Artificial Immune Systems - ICARIS | - |
dc.description.abstract | In the research of multi-objective optimization algorithm, evolutionary algorithms have considered to be very successful tools. Artificial Immune System (AIS)-based algorithms as one of the viable alternative have also be widely developed in this domain. Over the years, researchers of evolutionary algorithms have extended their interest to many-objective situations; however works in AIS-based algorithms is rather scattered. This paper extends an AIS-based optimization algorithm to solve such many-objective optimization problems. The idea of ε-dominance and the holistic model of the immune network theory have been adopted to enhance the exploitation ability aiming for a quick convergence. | - |
dc.language | eng | en_US |
dc.publisher | The MIT Press. | - |
dc.relation.ispartof | Advances in Artificial Life, ECAL 2013: proceedings of the 12th European Conference on the Synthesis and Simulation of Living System | en_US |
dc.title | An artificial immune system-based many-objective optimization algorithm with Network Activation Scheme | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Lau, HYK: hyklau@hkucc.hku.hk | en_US |
dc.identifier.authority | Lau, HYK=rp00137 | en_US |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.7551/978-0-262-31709-2-ch128 | - |
dc.identifier.hkuros | 222518 | en_US |
dc.identifier.spage | 872 | - |
dc.identifier.epage | 873 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 131118 | - |