UNI-MODAL AND MULTI-MODAL OPTIMIZATION USING MODIFIED HARMONY SEARCH METHODS
UNI-MODAL AND MULTI-MODAL OPTIMIZATION USING MODIFIED HARMONY SEARCH METHODS
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DOI：
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发表时间：
2009
影响因子：
1
通讯作者：
X. Gao;Xiaolei Wang;S. Ovaska
中科院分区：
文献类型：
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作者：
X. Gao;Xiaolei Wang;S. Ovaska
和声搜索（Harmony Search，HS）算法是一种新兴的元启发式优化算法。在本文中，我们提出了两个修改的HS方法来处理单峰和多峰优化问题。第一种改进的HS方法是基于HS和差分进化（DE）技术的融合，即HS-DE。这里采用DE来优化HS存储器的成员。第二种改进的HS方法采用了一种新的HS内存管理方法，它的目标是处理多模态问题。几个非线性函数被用来证明和验证我们的两个新的HS方法的有效性。
The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. In this paper, we propose two modified HS methods to deal with the unimodal and multi-modal optimization problems. The first modified HS method is based on the fusion of the HS and Differential Evolution (DE) technique, namely, HS-DE. The DE is employed here to optimize the members of the HS memory. The second modified HS method utilizes a novel HS memory management approach, and it targets at handling the multi-modal problems. Several nonlinear functions are used to demonstrate and verify the effectiveness of our two new HS methods.