Three real-coded genetic algorithm with new mutation operators

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Show simple item record Zhang, G Ma, J Zhou, C
dc.contributor.editor Li, T
dc.contributor.editor Xu, Y
dc.contributor.editor Ruan, D 2010-05-18T06:48:14Z 2007-01
dc.identifier.citation ISKE-2007 Proceedings, 2007, pp. 531 - 534
dc.identifier.isbn 978-90-78677-04-8
dc.identifier.other E1 en_US
dc.description.abstract Local search is mainly implemented by the reproduction and crossover operation, global search is assured by the mutation operation in conventional genetic algorithm. In order to enhance the global search ability, three new mutation operators are proposed based on the idea that big change into small and small change into big for gene bit selected at random. The experimental verification shows that the proposed new genetic algorithms with new mutation operators are effective in seeking for the global optimal solutions.
dc.publisher Atlantis Press
dc.relation.isbasedon 10.2991/iske.2007.259
dc.title Three real-coded genetic algorithm with new mutation operators
dc.type Conference Proceeding
dc.parent ISKE-2007 Proceedings
dc.journal.number en_US
dc.publocation France en_US
dc.identifier.startpage 531 en_US
dc.identifier.endpage 534 en_US FEIT.School of Software en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference International Conference on Intelligent Systems and Knowledge Engineering
dc.conference.location Chengdu, China en_US
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080105 Expert Systems
dc.personcode 020014
dc.percentage 50 en_US Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Intelligent Systems and Knowledge Engineering en_US 20071015 en_US 2007-10-15
dc.location.activity Chengdu, China en_US
dc.description.keywords Function optimization, Genetic algorithm, Real-coded, Mutation operator. en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Open Access 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)

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