Clonal Selection Algorithm with Adaptive Lévy Mutation Operator
Article No.: 127, Pages 1 - 5
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Abstract
This paper studies clonal selection algorithm with different hypermutation operator such as Gaussian, Cauchy and Lévy Mutation operator and employs an adaptive Lévy hypermutation operator for solving complex numerical optimization problem. Lévy mutation operator is based on Lévy probability distribution which is capable of generating individuals far away from its parents. The proposed adaptive Lévy 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.
References
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Published In
August 2016
868 pages
ISBN:9781450347563
DOI:10.1145/2980258
- Conference Chairs:
- V. Akila,
- N. Sivakumar,
- K. Saruladha,
- G. Zayaraz,
- E. Ilavarasan
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Association for Computing Machinery
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Published: 25 August 2016
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ICIA-16
ICIA-16: International Conference on Informatics and Analytics
August 25 - 26, 2016
Pondicherry, India
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