Niching with Sub-swarm based Particle Swarm Optimization

Muhammad Rashid; Abdul Rauf Baig; Kashif Zafar; IEEE Computer Society

doi:10.1109/ICCTD.2009.30

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Conference proceeding

Niching with Sub-swarm based Particle Swarm Optimization

Muhammad Rashid, Abdul Rauf Baig, Kashif Zafar and IEEE Computer Society

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 2, Vol.2, pp.181-183

01/01/2009

DOI: https://doi.org/10.1109/ICCTD.2009.30

Abstract

Computer Science

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

In this study we present a sub-swarm based particle swarm optimization algorithm for niching (NSPSO). The NSPSO algorithm is capable of locating and maintaining a sufficient number of niches throughout the execution of the algorithm. The niches which are identified are then exploited by using a sub-swarm strategy which tries to refine the niche and converge to an optimum solution. NSPSO is capable of locating multiple solutions and is well suited for multimodal optimization problems. From the experimentation results, we have observed that NSPSO is quite efficient in locating both global and local optima. We present a comparison of the performance of NSPSO with NichePSO and SPSO.

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Details

Title: Niching with Sub-swarm based Particle Swarm Optimization
Creators - without role: Muhammad Rashid - National University of Computer and Emerging Sciences
Abdul Rauf Baig - Natl Univ Comp & Emerging Sci, Dept Comp Sci, Islamabad, Pakistan
Kashif Zafar - National University of Computer and Emerging Sciences
IEEE Computer Society
Publication Details: PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT, VOL 2, Vol.2, pp.181-183
Publisher: IEEE
Number of pages: 3
Identifiers: 9916032008331
Academic Unit: Imam Mohammad Ibn Saud Islamic University (IMSIU)
Language: English
Resource Type: Conference proceeding