A harmony search algorithm with ensemble of parameter sets

  • Authors:

  • Quan-Ke Pan;P. N. Suganthan;M. Fatih Tasgetiren

  • Affiliations:

  • College of Computer Science, Liaocheng University, Liaocheng, P.R. China and State Key Lab. of Digital Manufacturing Equipment & Technology, Huazhong University of Science & Technology, Wu ...;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Department of Operations Management and Business Statistics, Sultan Qaboos University, Muscat, Sultanate of Oman

  • Venue:
  • CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
  • Year:
  • 2009

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Abstract

This paper presents a harmony search algorithm with ensemble of parameter sets, named EHS algorithm, for solving continuous optimization problems. In the proposed algorithm, an ensemble of parameter sets is adopted to self-adaptively choose the best control parameters during the evolution process. This method not only eliminates the need to perform the trail-and-error search for the best single parameter set, but enables us to benefit from the match between the parameter sets, the different search phases, and the specific problems as well. Extensive computational simulations and comparisons are carried out by employing a set of 10 benchmark problems from the literature. The computational results show that the proposed EHS algorithm is more effective in finding better solutions than the state-of-the-art harmony search (HS) variants [1,2,3].