Abstract
Choosing the proper control parameters for DE is quite difficult because the best settings for the control parameters can be different for different functions. In this paper, the proposed self-adaptive method is an attempt to determine the values of control parameters F and CR. In this method, the adjusting of F and CR associates with fitness of individuals and the new values are Chaos random numbers. The experiment results show that this algorithm can attain better solutions than other algorithms for multimodal functions.
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Yang, M., Guan, J., Cai, Z., Wang, L. (2010). Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization. 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_12
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DOI: https://doi.org/10.1007/978-3-642-16493-4_12
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