An improved Harmony search algorithm with dynamic control parameters for continuous optimization problems
An improved harmony search algorithm is presented for solving continuous optimization problems in this paper.In the proposed algorithm,an elimination principle is developed for choosing from the harmony memory,so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies.Two key control parameters,pitch adjustment rate(PAR)and bandwidth distance(bw),are dynamically adjusted to favor exploration in the early stages and exploitation during the final stages of the search process with the different search spaces of the optimization problems.Numerical results of 12 benchmark problems show that the proposed algorithm performs more effectively than the existing HS variants in finding better solutions.
Harmony search Continuous optimization Meta-heuristics Dynamic parameter Evolutionary algorithms
Biao Zhang Huihui Yan J.J.Liang J.J.Liang Hong-yan Sang Quan-ke Pan
College of Computer Science,Liaocheng University,Liaocheng,252059 School of Electrical Engineering,Zhengzhou University,Zhengzhou,450001 StateKey Laboratory of Synthetical Automation for Process Industries,Northeastern University),Shenya
国际会议
长沙
英文
966-971
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）