Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
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- 作者：Gai-Ge Wang ; Amir H. Gandomi ; Xiangjun Zhao ; Hai Cheng Eric Chu
- 关键词：Global optimization problem ; Cuckoo search (CS) ; Harmony search (HS) ; Pitch adjustment operation
- 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：20
- 期：1
- 页码：273-285
- 全文大小：3,024 KB
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Amir H. Gandomi (2)
Xiangjun Zhao (1)
Hai Cheng Eric Chu (3)
1. School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China
2. Department of Civil Engineering, The University of Akron, Akron, OH, 44325, USA
3. National Taichung University of Education (NTCU), 140 MinSheng Rd., Taichung, 40306, Taiwan, China - 刊物类别：Engineering
- 刊物主题：Numerical and Computational Methods in Engineering
Theory of Computation
Computing Methodologies
Mathematical Logic and Foundations
Control Engineering - 出版者：Springer Berlin / Heidelberg
- ISSN：1433-7479
文摘
For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an improved robust approach, called HS/CS, is put forward to address the optimization problems. In HS/CS method, the pitch adjustment operation in harmony search (HS) that can be considered as a mutation operator is added to the process of the cuckoo updating so as to speed up convergence. Several benchmarks are applied to verify the proposed method and it is demonstrated that, in most cases, HS/CS performs better than the standard CS and other comparative methods. The parameters used in HS/CS are also investigated by various simulations. Keywords Global optimization problem Cuckoo search (CS) Harmony search (HS) Pitch adjustment operation