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dc.contributor.authorYang, S-
dc.identifier.citationIEEE Congress on Evolutionary Computation (CEC 2004), 2: 1262 - 1269, 19 - 23 Jun 2004en_US
dc.descriptionThis article is posted here with permission from IEEE - Copyright @ 2004 IEEEen_US
dc.description.abstractIn recent years the study of dynamic optimization problems has attracted an increasing interest from the community of genetic algorithms and researchers have developed a variety of approaches into genetic algorithms to solve these problems. In order to compare their performance, an important issue is the construction of standardized dynamic test environments. Based on the concept of problem difficulty, This work proposes a new dynamic environment generator using a decomposable trap function. With this generator, it is possible to systematically construct dynamic environments with changing and bounding difficulty and hence, we can test different genetic algorithms under dynamic environments with changing but controllable difficulty levels.en_US
dc.description.sponsorshipThis research was supported by UK EPSRC under Grant GR/S79718/01.en_US
dc.subjectDecomposable trap functionen_US
dc.subjectDynamic environment generatoren_US
dc.subjectDynamic optimization problemsen_US
dc.subjectDynamic test environmentsen_US
dc.subjectGenetic algorithmsen_US
dc.subjectProblem difficultyen_US
dc.titleConstructing dynamic test environments for genetic algorithms based on problem difficultyen_US
dc.typeConference Paperen_US
pubs.organisational-data/Brunel/Brunel (Active)-
pubs.organisational-data/Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Research Centres (RG)-
pubs.organisational-data/Brunel/Research Centres (RG)/CIKM-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM-
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Computer Science
Dept of Computer Science Research Papers

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