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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39407
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dc.titleEmpirical study of population diversity in permutation-based genetic algorithm
dc.contributor.authorZhu, K.Q.
dc.contributor.authorLiu, Z.
dc.date.accessioned2013-07-04T07:40:56Z
dc.date.available2013-07-04T07:40:56Z
dc.date.issued2004
dc.identifier.citationZhu, K.Q.,Liu, Z. (2004). Empirical study of population diversity in permutation-based genetic algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3103 : 420-421. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39407
dc.description.abstractThis paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Salesman Problems and Vehicle Routing Problems. © Springer-Verlag Berlin Heidelberg 2004.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3103
dc.description.page420-421
dc.identifier.isiutNOT_IN_WOS
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