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GECCO
1999
Springer

A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems

8 years 10 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a way to compute it are given. Two diversity oriented selection procedures for GA are proposed. Their performances in terms of diversity and solution quality are tested against a standard Genetic Algorithm. Relations between population diversity and algorithm accuracy are shown through numerical experiments.
Carlos A. Brizuela, Nobuo Sannomiya
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where GECCO
Authors Carlos A. Brizuela, Nobuo Sannomiya
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