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An adaptive genetic algorithm with multiple operators for flowshop scheduling

✍ Scribed by Liang Zhang; Ling Wang; Da-Zhong Zheng

Publisher
Springer
Year
2005
Tongue
English
Weight
499 KB
Volume
27
Category
Article
ISSN
0268-3768

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Genetic algorithms (GA) have been widely used to solve planning problems. However, they require one to determine the optimal values of many genetic parameters, such as population sizes, crossover probability, mutation probability, and so on. To make matters worse, the most suitable combination of pa