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A Concurrent-Hybrid Evolutionary Algorithms with Multi-child Differential Evolution and Guotao Algorithm Based on Cultural Algorithm Framework

机译:基于文化算法框架的多子差分进化与国套算法并发混合混合进化算法

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This paper proposes a multi-child differential evolutionary algo-rithm(MCDE), and forms a concurrent-hybrid evolutionary algorithm by integrating the MCDE algorithm and Guotao algorithm based on variable searching subspace(VSSGT) into the culture algorithm framework. Numerical experiment results indicate that the performance of the proposed algorithm is better than that of MCDE, Differential Evolution algorithm(DE) and VSSGT, and better than that of the DE with double trial vectors based on Boltzmann mechanism.
机译:提出了一种多子代差分进化算法(MCDE),将基于变量搜索子空间(VSSGT)的MCDE算法和国涛算法集成到文化算法框架中,形成了并发混合进化算法。数值实验结果表明,该算法的性能优于MCDE,差分进化算法(DE)和VSSGT,并优于基于Boltzmann机制的双试验矢量DE。

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