Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39407
Title: Empirical study of population diversity in permutation-based genetic algorithm
Authors: Zhu, K.Q. 
Liu, Z.
Issue Date: 2004
Source: Zhu, 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.
Abstract: This 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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/39407
ISSN: 03029743
Appears in Collections:Staff Publications

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