中国地质大学主页平台管理系统 Yang Shengxiang--Home-- R. Tinos and S. Yang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8(3): 155-168, June 2011. IOS Press (DOI: 10.3233/HIS-2011-0136 and PDF File).

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R. Tinos and S. Yang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8(3): 155-168, June 2011. IOS Press (DOI: 10.3233/HIS-2011-0136 and PDF File).

Release time:2018-09-23 Hits:

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Pre One:X. Peng, X. Gao, and S. Yang. Environment identification based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Computing, 15(2): 311-326, February 2011. Springer (DOI: 10.1007/s00500-010-0547-5, PDF File, and Source Code in Microsoft Visual C++ 6.0).

Next One:R. Tinos and S. Yang. Use of the q-Gaussian mutation in evolutionary algorithms. Soft Computing, 15(8): 1523-1549, August 2011. Springer (DOI: 10.1007/s00500-010-0686-8, PDF File and Source Code in C++).