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Genetic search and the dynamic layout problem
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DOI：10.1016/S0305-0548(99)00052-0.png)
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An improved genetic algorithm for the dynamic layout problem is developed and tested in this research. Our genetic algorithm differs from the existing implementation in three ways: first, we adopt a different crossover operator, second, we use mutation, and third, we use a new generational replacement strategy to help increase population diversity. A computational study shows that the proposed GA is quite effective.
Keyword:
genetic search
dynamic layout
optimization
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4.3
论文数:
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被引数:
1.8W
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