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Article: Chemical Reaction Optimization: A tutorial
Title | Chemical Reaction Optimization: A tutorial |
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Authors | |
Keywords | Approximate algorithm Chemical Reaction Optimization Metaheuristic Nature-inspired algorithm Optimization |
Issue Date | 2012 |
Publisher | Springer. The Journal's web site is located at http://www.springer.com/engineering/journal/12293 |
Citation | Memetic Computing, 2012, v. 4 n. 1, p. 3-17 How to Cite? |
Abstract | Chemical Reaction Optimization (CRO) is a recently established metaheuristics for optimization, inspired by the nature of chemical reactions. A chemical reaction is a natural process of transforming the unstable substances to the stable ones. In microscopic view, a chemical reaction starts with some unstable molecules with excessive energy. The molecules interact with each other through a sequence of elementary reactions. At the end, they are converted to those with minimum energy to support their existence. This property is embedded in CRO to solve optimization problems. CRO can be applied to tackle problems in both the discrete and continuous domains. We have successfully exploited CRO to solve a broad range of engineering problems, including the quadratic assignment problem, neural network training, multimodal continuous problems, etc. The simulation results demonstrate that CRO has superior performance when compared with other existing optimization algorithms. This tutorial aims to assist the readers in implementing CRO to solve their problems. It also serves as a technical overview of the current development of CRO and provides potential future research directions. © 2012 The Author(s). |
Persistent Identifier | http://hdl.handle.net/10722/147100 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 0.945 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lam, AYS | en_HK |
dc.contributor.author | Li, VOK | en_HK |
dc.date.accessioned | 2012-05-25T07:50:44Z | - |
dc.date.available | 2012-05-25T07:50:44Z | - |
dc.date.issued | 2012 | en_HK |
dc.identifier.citation | Memetic Computing, 2012, v. 4 n. 1, p. 3-17 | en_HK |
dc.identifier.issn | 1865-9284 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/147100 | - |
dc.description.abstract | Chemical Reaction Optimization (CRO) is a recently established metaheuristics for optimization, inspired by the nature of chemical reactions. A chemical reaction is a natural process of transforming the unstable substances to the stable ones. In microscopic view, a chemical reaction starts with some unstable molecules with excessive energy. The molecules interact with each other through a sequence of elementary reactions. At the end, they are converted to those with minimum energy to support their existence. This property is embedded in CRO to solve optimization problems. CRO can be applied to tackle problems in both the discrete and continuous domains. We have successfully exploited CRO to solve a broad range of engineering problems, including the quadratic assignment problem, neural network training, multimodal continuous problems, etc. The simulation results demonstrate that CRO has superior performance when compared with other existing optimization algorithms. This tutorial aims to assist the readers in implementing CRO to solve their problems. It also serves as a technical overview of the current development of CRO and provides potential future research directions. © 2012 The Author(s). | en_HK |
dc.language | eng | en_US |
dc.publisher | Springer. The Journal's web site is located at http://www.springer.com/engineering/journal/12293 | en_US |
dc.relation.ispartof | Memetic Computing | en_HK |
dc.rights | The Author(s) | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | en_US |
dc.subject | Approximate algorithm | en_HK |
dc.subject | Chemical Reaction Optimization | en_HK |
dc.subject | Metaheuristic | en_HK |
dc.subject | Nature-inspired algorithm | en_HK |
dc.subject | Optimization | en_HK |
dc.title | Chemical Reaction Optimization: A tutorial | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://www.springerlink.com/link-out/?id=2104&code=Y3774V13P68G6047&MUD=MP | en_US |
dc.identifier.email | Li, VOK:vli@eee.hku.hk | en_HK |
dc.identifier.authority | Li, VOK=rp00150 | en_HK |
dc.description.nature | published_or_final_version | en_US |
dc.identifier.doi | 10.1007/s12293-012-0075-1 | en_HK |
dc.identifier.scopus | eid_2-s2.0-84857648810 | en_HK |
dc.identifier.hkuros | 210453 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84857648810&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 4 | en_HK |
dc.identifier.issue | 1 | en_HK |
dc.identifier.spage | 3 | en_HK |
dc.identifier.epage | 17 | en_HK |
dc.identifier.eissn | 1865-9292 | en_US |
dc.identifier.isi | WOS:000209099000002 | - |
dc.publisher.place | Germany | - |
dc.description.other | Springer Open Choice, 25 May 2012 | en_US |
dc.identifier.scopusauthorid | Lam, AYS=35322184700 | en_HK |
dc.identifier.scopusauthorid | Li, VOK=7202621685 | en_HK |
dc.identifier.issnl | 1865-9284 | - |