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Conference Paper: Resource allocation between initialization and optimization under computational expensive environment

TitleResource allocation between initialization and optimization under computational expensive environment
Authors
KeywordsResource Allocation
Initialization Techniques
Computational Expensive Problem
Differential Evolution
Chemical Reaction Optimization
Issue Date2015
PublisherIEEE. 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?
AbstractInitialization 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 Identifierhttp://hdl.handle.net/10722/218962
ISBN

 

DC FieldValueLanguage
dc.contributor.authorSun, Y-
dc.contributor.authorLi, VOK-
dc.date.accessioned2015-09-18T07:02:18Z-
dc.date.available2015-09-18T07:02:18Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 25-28 May 2015. In Conference Proceedings, 2015, p. 1287-1294-
dc.identifier.isbn978-1-4799-7492-4-
dc.identifier.urihttp://hdl.handle.net/10722/218962-
dc.description.abstractInitialization 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.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284-
dc.relation.ispartofCongress on Evolutionary Computation (CEC)-
dc.rightsCongress 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.subjectResource Allocation-
dc.subjectInitialization Techniques-
dc.subjectComputational Expensive Problem-
dc.subjectDifferential Evolution-
dc.subjectChemical Reaction Optimization-
dc.titleResource allocation between initialization and optimization under computational expensive environment-
dc.typeConference_Paper-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1109/CEC.2015.7257037-
dc.identifier.hkuros254297-
dc.identifier.hkuros255240-
dc.identifier.spage1287-
dc.identifier.epage1294-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151119-

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