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Conference Paper: A Chemical Reaction-Inspired Optimization Algorithm for Biomedical Sciences
Title | A Chemical Reaction-Inspired Optimization Algorithm for Biomedical Sciences |
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Authors | |
Keywords | Chemical reaction optimization Metaheuristic Nature-inspired algorithm |
Issue Date | 2015 |
Citation | The 9th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS 2015), Singapore, 17-19 December 2015 How to Cite? |
Abstract | We encounter optimization problems in our daily lives and in research in various fields. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)heuristic methods. However, the huge number of optimization problems and the small number of generally acknowledged methods mean that more metaheuristics are needed to fill the gap. A new metaheuristic, called Chemical Reaction Optimization (CRO), was proposed to solve these hard problems. It mimics the interactions of molecules in a chemical reaction to reach a low energy stable state. CRO has demonstrated its competitive edge over existing methods in solving many real-world problems. It has been successfully applied to problems in many disciplines, e.g., networking, communications, operations research, computing, finance, energy and environment, computational intelligence, etc. Therefore, it provides a new approach for solving optimization problems, especially those which may not be solvable with the few generally acknowledged approaches. In this talk, we focus on the applications of CRO to biomedical sciences. |
Description | Invited Session - IS30 NATURE-INSPIRED META-HEURISTIC APPROACHES AND THEIR APPLICATIONS IN DESIGNS OF EXPERIMENTS IASC-ARS 2015 was hosted by the Department of Statistics and Applied Probability, National University of Singapore The conference topic for 2015: Statistical Computing: Challenges and Opportunities in Big Data Era |
Persistent Identifier | http://hdl.handle.net/10722/238958 |
DC Field | Value | Language |
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dc.contributor.author | Lam, AYS | - |
dc.date.accessioned | 2017-02-24T08:07:53Z | - |
dc.date.available | 2017-02-24T08:07:53Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 9th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS 2015), Singapore, 17-19 December 2015 | - |
dc.identifier.uri | http://hdl.handle.net/10722/238958 | - |
dc.description | Invited Session - IS30 NATURE-INSPIRED META-HEURISTIC APPROACHES AND THEIR APPLICATIONS IN DESIGNS OF EXPERIMENTS | - |
dc.description | IASC-ARS 2015 was hosted by the Department of Statistics and Applied Probability, National University of Singapore | - |
dc.description | The conference topic for 2015: Statistical Computing: Challenges and Opportunities in Big Data Era | - |
dc.description.abstract | We encounter optimization problems in our daily lives and in research in various fields. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)heuristic methods. However, the huge number of optimization problems and the small number of generally acknowledged methods mean that more metaheuristics are needed to fill the gap. A new metaheuristic, called Chemical Reaction Optimization (CRO), was proposed to solve these hard problems. It mimics the interactions of molecules in a chemical reaction to reach a low energy stable state. CRO has demonstrated its competitive edge over existing methods in solving many real-world problems. It has been successfully applied to problems in many disciplines, e.g., networking, communications, operations research, computing, finance, energy and environment, computational intelligence, etc. Therefore, it provides a new approach for solving optimization problems, especially those which may not be solvable with the few generally acknowledged approaches. In this talk, we focus on the applications of CRO to biomedical sciences. | - |
dc.language | eng | - |
dc.relation.ispartof | The Conference of the Asian Regional Section (ARS) of the International Association for Statistical Computing | - |
dc.subject | Chemical reaction optimization | - |
dc.subject | Metaheuristic | - |
dc.subject | Nature-inspired algorithm | - |
dc.title | A Chemical Reaction-Inspired Optimization Algorithm for Biomedical Sciences | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lam, AYS: ayslam@eee.hku.hk | - |
dc.identifier.authority | Lam, AYS=rp02083 | - |
dc.identifier.hkuros | 261809 | - |