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
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);
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1649-1
Electronic_ISBN :
1985-5753
DOI :
10.1109/STUDENT.2012.6408404