Abstract
The parametric uniform crossover is a general form of the uniform crossover operator by which the swapping probability of each locus could be controlled. The swap probability could control the amount of disruption of high order hyper planes. Several variations of selecto-recombinative genetic algorithms are proposed for controlling the swap probability in the parametric uniform crossover operator. The suitability of the operator for diversifying the population while reducing disruption of the good partial solutions is studied. The experiments showed significant improvement in the performance of the algorithms when the parametric uniform crossover were used in comparison to algorithms that uniform crossover have been used in them.
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Nadi, F., Khader, A.T. (2012). A Study on the Utility of Parametric Uniform Crossover for Adaptation of Crossover Operator. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_20
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DOI: https://doi.org/10.1007/978-3-642-33185-5_20
Publisher Name: Springer, Berlin, Heidelberg
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