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Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem
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Authors:
Claudio Fabiano Motta Toledo
Universidade Federal de Lavras, Lavras, MG, Brazil
Paulo Morelato França
Universidade Estadual, Prudente, SP, Brazil
Kalianne Almeida Rosa
Universidade Federal de Lavras, Lavras, MG, Brazil
Published in:
· Proceeding
SAC '08
Proceedings of the 2008 ACM symposium on Applied computing
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-59593-753-7
doi>
10.1145/1363686.1364114
2008 Article
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· Downloads (12 Months): 12
· Citation Count: 0
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SAC 2012
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Tags:
algorithms
experimentation
genetic algorithms
lot sizing
management
measurement
multi-population
performance
scheduling
soft drink company
verification
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