Differential Evolution with Mixed Distribution Mutation Operation
| Autor: | Shenwen Wang, Hua Yang, Zhaolu Guo, Chenwang Xie, Lixin Ding, Datong Xie |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Normal-inverse Gaussian distribution
Generalized inverse Gaussian distribution Mathematical optimization Differential evolution Mutation (genetic algorithm) MathematicsofComputing_NUMERICALANALYSIS Noncentral chi-squared distribution Asymptotic distribution Cauchy distribution Premature convergence Mathematics |
| Zdroj: | 2012 Fourth International Conference on Computational and Information Sciences. |
| DOI: | 10.1109/iccis.2012.130 |
| Popis: | To solve the premature convergence problem of the conventional differential evolution, an improved differential evolution algorithm is proposed in this paper. The proposed algorithm introduces mixed distribution mutation operation which combines gaussian distribution mutation and cauchy distribution mutation by a proportion for maintaining the balance of the exploration and exploitation. Experimental results show that the novel algorithm achieves better performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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