NDLI: An Empirical Study on the Settings of Control Coefficients in Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Kwok, N.M. Liu, D.K. Tan, K.C. Ha, Q.P.
Copyright Year	2006
Description	Author affiliation: Univ. of Technol., Sydney (Kwok, N.M.; Liu, D.K.; Ha, Q.P.)
Abstract	The effects of randomness of control coefficients in particle swarm optimization (PSO) are investigated through empirical studies. The PSO is viewed as a method to solve a coverage problem in the solution space when the global-best particle is reported as the solution. Randomness of the control coefficients, therefore, plays a crucial role in providing an efficient and effective algorithm. Comparisons of performances are made between the uniform and Gaussian distributed random coefficients in adjusting particle velocities. Alternative strategies are also tested, they include: i) pre-assigned randomness through the iterations, ii) selective hybrid random adjustment based on the fitness of the particles. Furthermore, the effect of velocity momentum factor is compared between a constant and random momentum. Numerical results show that performances of the proposed variations are comparable to the conventional implementation for simple test functions. However, enhanced performances using the selective and hybrid strategy are observed for complicate functions.
Starting Page	823
Ending Page	830
File Size	379348
Page Count	8
File Format	PDF
ISBN	0780394879
DOI	10.1109/CEC.2006.1688396
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Convergence Testing Context-aware services Phased arrays Performance evaluation Birds Marine animals Educational institutions Magnetic domains
Content Type	Text
Resource Type	Article

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