Improved Hierarchical Structure Poly-particle particle Swarm Optimization

Kok Hen Chong, Johnny Siaw Paw Koh, Yong Sue Ann, Koo Wai Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012 - Conference Booklet
Pages203-206
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2012
Event3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012 - Kuala Lumpur, Malaysia
Duration: 06 Oct 201209 Oct 2012

Other

Other3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012
CountryMalaysia
CityKuala Lumpur
Period06/10/1209/10/12

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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  • Cite this

    Chong, K. H., Koh, J. S. P., Ann, Y. S., & Yan, K. W. (2012). Improved Hierarchical Structure Poly-particle particle Swarm Optimization. In 2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012 - Conference Booklet (pp. 203-206). [6408404] https://doi.org/10.1109/STUDENT.2012.6408404