Abstract
This paper proposes a multi-child differential evolutionary algorithm(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.
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Li, X., Liu, K., Ma, L., Li, H. (2010). A Concurrent-Hybrid Evolutionary Algorithms with Multi-child Differential Evolution and Guotao Algorithm Based on Cultural Algorithm Framework. In: Cai, Z., Hu, C., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2010. Lecture Notes in Computer Science, vol 6382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16493-4_13
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DOI: https://doi.org/10.1007/978-3-642-16493-4_13
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