Chaotic particle swarm optimization algorithm with harmony search for industrial applications

被引：0
|
作者：
Du, Wenli [1 ]
Zhang, Hailong [1 ]
Qian, Feng [1 ]
机构：
[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2012年 / 52卷 / 03期
关键词：
Chaos particle swarm optimization algorithm with harmony searches (CPSO-HS) - Chaos particle swarm optimizations - Chaotic particle swarm optimizations - Harmony search - Harmony search algorithms - Heavy oil thermal crackings - Improved particle swarm optimization algorithms - Particle swarm optimization method;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Particle swarm optimization methods for optimization problems tend to search premature solutions. This paper presents an improved particle swarm optimization algorithm merging chaotic and harmony searches. The chaos particle swarm optimization method is stable, robust and adaptable. The harmony search algorithm is a meta heuristic algorithm for simulating band tuning to obtain an optimal harmonized process with a global search. Results for four standard test functions show that this chaos particle swarm optimization algorithm with a harmony search (CPSO-HS) can jump out of local optimums with fast convergence and good stability. This algorithm has been successfully applied to parameter estimates for a heavy oil thermal cracking model.
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页码：325 / 330
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