DocumentCode :
589842
Title :
Improved Hierarchical Structure Poly-particle particle Swarm Optimization
Author :
Chong Kok Hen ; Paw, Johnny Koh Siaw ; Yong Sue Ann ; Koo Wai Yan
Author_Institution :
Dept. of Electron. & Commun. Eng., Univ. Tenaga Nasional, Kajang, Malaysia
fYear :
2012
fDate :
6-9 Oct. 2012
Firstpage :
203
Lastpage :
206
Abstract :
In this paper, the Improved Hierarchical Structure Poly-particle Swarm Optimization (IHSPPSO) algorithm is proposed based on the Hierarchical Structure Poly-particle Swarm Optimization (HSPPSO) algorithm with the addition of three new operators, namely the Particle Repair Operator, Dynamic Acceleration Control Operator and Cauchy mutation operator to achieve better performance in terms of accuracy and rate of convergence. The performance of the IHSPPSO algorithm was tested and evaluated using four benchmark test functions. The test results of the IHSPPSO algorithm were compared with the ones of HSPPSO and significant improvements were shown. The addition of three new operators has significantly improved the performance of the IHSPPSO algorithm.
Keywords :
convergence; mathematical operators; particle swarm optimisation; Cauchy mutation operator; IHSPPSO algorithm; convergence rate; dynamic acceleration control operator; improved hierarchical structure polyparticle particle swarm optimization; particle repair operator; Fast Convergence; Hierarchical Structure Particle Swarm Optimization; Particle Swarm Optimization (PSO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on
Conference_Location :
Kuala Lumpur
ISSN :
1985-5753
Print_ISBN :
978-1-4673-1649-1
Electronic_ISBN :
1985-5753
Type :
conf
DOI :
10.1109/STUDENT.2012.6408404
Filename :
6408404
Link To Document :
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