A Harmony Search-Based Differential Evolution Method
Computational Science and Engineering（2010）
摘要
The Differential Evolution (DE) and Harmony Search (HS) are two well-known nature-inspired computing techniques. Both of them can be applied to effectively cope with nonlinear optimization problems. In this paper, we propose and study a new DE method, DE-HS, by utilizing the fresh individual generation mechanism of the HS. The HS-based approach can enhance the local search capability of the original DE method. Optimization of several benchmark functions and a real-world wind generator demonstrate that our DE-HS has an improved convergence property.
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关键词
differential evolution,original de method,harmony search,fresh individual generation mechanism,benchmark function,nonlinear optimization problem,new de method,hs-based approach,harmony search-based differential evolution,local search capability,improved convergence property,gallium,convergence,generators,local search,nonlinear optimization
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