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The quadratic assignment problem (QAP) is a NP-hard combinatorial optimization problem. Genetic algorithm (GA) is one of the best algorithms to deal with such difficult problems. This paper presents an improved GA for finding effective solution to the QAP. As starting with a good initial population leads faster convergence of GA, we use sequential sampling algorithm for generating initial population...
In genetic algorithms crossover is the most important operator where pair of chromosomes and crossover site along their common length are selected randomly. Then the information after the crossover site of the parent chromosomes is swapped. On the other hand, mutation operator randomly alters some genes of a chromosome, and thus diversifies the search space. We consider three crossover and ten mutation...
Instead of using traditional (two-parent) crossover operator, multi-parent crossover operator is used in genetic algorithms to improve solution quality for many numerical optimization problems. However, very few literatures are available on multi-parent crossover operator for combinatorial optimization problems, especially, quadratic assignment problem (QAP). This paper proposes a multi-parent extension...
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