Department of Computer Engineering, Sungkyunkwan University (SKKU) 2066 Seobu-ro, Suwon 440-746, Republic of Korea

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Abstract—Appropriately adapting mutation strategies is a challengeable problem of the literature of the Differential Evolution (DE). The Strategy adaptation Mechanism (SaM) can convert a control parameter adaptation algorithm to a strategy adaptation algorithm. To improve the quality of optimization result, the exploration property is important in the early stage of optimization process and the exploitation property is significant in the late stage of optimization process. To ensure these, we modified the SaM for strictly controlling a balance between the exploration and the exploitation properties, which called the bias SaM (bSaM). We extended the Adaptive Cauchy Differential Evolution (ACDE) by attaching the bSaM. We compared the bSaM with SaM and the bSaM extended ACDE with the state-ofthe- art DE algorithms in various benchmark problems. The result of the performance evaluation showed that the bSaM and the bSaM extended ACDE performs better than SaM and the state-of-the-art DE algorithms not only unimodal but also multimodal benchmark problems.

Index Terms—Differential Evolution Algorithm, Adaptive Strategy Control, Adaptive Parameter Control, Exploration Property, Exploitation Property

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Cite: Tae Jong Choi and Chang Wook Ahn, "An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization," Journal of Computers vol. 9, no. 9, pp. 2139-2145, 2014.