An improved harmony search algorithms based on particle swarm optimizer

Authors:
Guangwei Song;Hongfei Yu;Ben Niu;Li Li
Affiliations:
College of Management, Shenzhen University, Shenzhen, China;College of Management, Shenzhen University, Shenzhen, China;College of Management, Shenzhen University, Shenzhen, China,Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China,Institute for Cultural Industries, Shenzhen Universit ...;College of Management, Shenzhen University, Shenzhen, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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Abstract

An improved harmony search algorithms based on particle swarm optimizer (HSPSO) is presented. The new heuristic optimization algorithm hybridizes HS and PSO, and it is based on the principles of those two methods with some differences. Comparisons with improved HS (IHS) , PSO algorithm (PSO), and it variants on a set of benchmark functions indicate that the HSPSO is capable of alleviating the problems of premature convergence.