Abstract
This paper studies clonal selection algorithm with different hypermutation operator such as Gaussian, Cauchy and Levy Mutation operator and employs an adaptive Levy hypermutation operator for solving complex numerical optimization problem. Levy mutation operator is based on Levy probability distribution which is capable of generating individuals far away from its parents. The proposed adaptive Levy hypermutation operator is applied to a set of benchmark functions. From the empirical evidence it is inferred that the proposed hypermutation operator performs better even for functions with many local optima than the Gaussian and Cauchy mutation operator.
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