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- Publisher Website: 10.1109/CEC.2015.7257037
- Scopus: eid_2-s2.0-84963570183
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Conference Paper: Resource allocation between initialization and optimization under computational expensive environment
Title | Resource allocation between initialization and optimization under computational expensive environment |
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Authors | |
Keywords | Resource Allocation Initialization Techniques Computational Expensive Problem Differential Evolution Chemical Reaction Optimization |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 |
Citation | The 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 25-28 May 2015. In Conference Proceedings, 2015, p. 1287-1294 How to Cite? |
Abstract | Initialization techniques are normally considered as “resource-free” and their computational complexities are seldom addressed. Since many techniques require objective function evaluations to generate initial solutions, this “resource-free” assumption is invalid under computational expensive environment. In this paper, we propose an Computational Resource Optimization Problem (CROP) between initialization and optimization under such environment. We provide a comparison metric among different initialization techniques. Four popular initialization techniques, namely, Pseudo Random Number Generator (PRNG), Opposition-based Learning (OBL), Quasi-Opposition-based Learning (QOBL) and Quadratic Interpolation (QI) are studied. Differential Evolution (DE) is used as the underlying optimization technique, while Chemical Reaction Optimization (CRO) is used to solve CROP. The CEC2014 computational expensive problem set is used as test cases. Our results show the importance of considering resource allocation between initialization and optimization in computational expensive environment. |
Persistent Identifier | http://hdl.handle.net/10722/218962 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Sun, Y | - |
dc.contributor.author | Li, VOK | - |
dc.date.accessioned | 2015-09-18T07:02:18Z | - |
dc.date.available | 2015-09-18T07:02:18Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 25-28 May 2015. In Conference Proceedings, 2015, p. 1287-1294 | - |
dc.identifier.isbn | 978-1-4799-7492-4 | - |
dc.identifier.uri | http://hdl.handle.net/10722/218962 | - |
dc.description.abstract | Initialization techniques are normally considered as “resource-free” and their computational complexities are seldom addressed. Since many techniques require objective function evaluations to generate initial solutions, this “resource-free” assumption is invalid under computational expensive environment. In this paper, we propose an Computational Resource Optimization Problem (CROP) between initialization and optimization under such environment. We provide a comparison metric among different initialization techniques. Four popular initialization techniques, namely, Pseudo Random Number Generator (PRNG), Opposition-based Learning (OBL), Quasi-Opposition-based Learning (QOBL) and Quadratic Interpolation (QI) are studied. Differential Evolution (DE) is used as the underlying optimization technique, while Chemical Reaction Optimization (CRO) is used to solve CROP. The CEC2014 computational expensive problem set is used as test cases. Our results show the importance of considering resource allocation between initialization and optimization in computational expensive environment. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 | - |
dc.relation.ispartof | Congress on Evolutionary Computation (CEC) | - |
dc.rights | Congress on Evolutionary Computation (CEC). Copyright © IEEE. | - |
dc.rights | ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Resource Allocation | - |
dc.subject | Initialization Techniques | - |
dc.subject | Computational Expensive Problem | - |
dc.subject | Differential Evolution | - |
dc.subject | Chemical Reaction Optimization | - |
dc.title | Resource allocation between initialization and optimization under computational expensive environment | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1109/CEC.2015.7257037 | - |
dc.identifier.scopus | eid_2-s2.0-84963570183 | - |
dc.identifier.hkuros | 254297 | - |
dc.identifier.hkuros | 255240 | - |
dc.identifier.spage | 1287 | - |
dc.identifier.epage | 1294 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151119 | - |