A Modified Harmony Search Algorithm for Optimization Problems
Harmony search (HS) algorithm is a new meta-heuristic optimization algorithm inspired from the music improvisation process. Though the excellent performance makes it wildly used in many areas, it is easy to get trapped in local minima. This paper is to introduce a modified harmony search algorithm to improve the performance of HS algorithm. The method is implemented by adding an innovative process on global harmony search algorithm (GHSA), a variant of HS algorithm. This modification would be easy to make a balance of diversification and intensification. The benchmarks are designed to test the performance of the modified HS algorithm and the results show that the innovative HS algorithm has a better performance than the basic HS algorithm and its variants. In addition, to investigate the influence of parameter bw on the algorithms performance, the tests are also conducted under the parameter bw with different types.
Harmony search algorithm Evolutionary algorithms Global optimization
Jiali Yang Jihong Zhu
Department of Computer Science and Technology Tsinghua University Beijing, China
国际会议
杭州
英文
678-682
2012-10-28（万方平台首次上网日期，不代表论文的发表时间）