Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5802
Title: Improved Hierarchical Structure Poly-particle particle Swarm Optimization
Authors: Hen, C.K. 
Paw, J.K.S. 
Ann, Y.S. 
Yan, K.W. 
Issue Date: 2012
Journal: 2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012 - Conference Booklet 2012, Article number 6408404, Pages 203-206 
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. © 2012 IEEE.
DOI: 10.1109/STUDENT.2012.6408404
Appears in Collections:COE Scholarly Publication

Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.