Research of Harmony Search Algorithm based on variable metric method

Wei Qi, Xuwang Liu
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Abstract

Harmony search algorithm is a good intelligent optimization algorithm, but it is not high robustness and large random. So combining variable metric method of the better local search ability, Harmony Search Algorithm based on variable metric method is proposed. Giving the theory of the basic harmony search algorithm and variable metric method, the specific processes of the improved algorithm is analyzed, through four test functions demonstrate the performance of the improved algorithm. The numerical experiments show that the means of the algorithm are better than other given algorithms in the text, and standard deviations are better than other algorithms. This shows the improved algorithm has the better optimization ability, good robustness, and the method is easy implemented,it has a good prospect in engineering.
基于变度量法的和声搜索算法研究
和谐搜索算法是一种很好的智能优化算法,但鲁棒性不高,随机性大。因此,结合局部搜索能力较好的变度量方法,提出了基于变度量方法的和谐搜索算法。给出了基本和声搜索算法和变度量法的原理,分析了改进算法的具体过程,通过四个测试函数验证了改进算法的性能。数值实验表明,该算法的均值优于文中给出的其他算法,标准差优于其他算法。结果表明,改进后的算法具有较好的优化能力和较好的鲁棒性,且方法易于实现,具有良好的工程应用前景。
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