Particle Swarm Optimization Using Gaussian Inertia Weight

In this paper we have proposed three variations of the Basic Particle Swarm Optimization (BPSO), called GWPSO+ED, GWPSO+GD and GWPSO+UD. The novelty of the approach is the combination a newly developed inertia weight with different probability distributions. The numerical results of the modified ver...

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Bibliographic Details
Main Authors: Pant, M., Radha, T., Singh, V.P.
Format: Conference Proceeding
Language:English
Subjects:
Computational intelligence
Equations
Exponential distribution
Heuristic algorithms
Paper technology
Particle swarm optimization
Performance loss
Probability distribution
Random number generation
Weight control
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Summary:In this paper we have proposed three variations of the Basic Particle Swarm Optimization (BPSO), called GWPSO+ED, GWPSO+GD and GWPSO+UD. The novelty of the approach is the combination a newly developed inertia weight with different probability distributions. The numerical results of the modified versions are compared with the BPSO. Simulations show that the proposed versions are comparable with BPSO and in most of the cases give superior performance.
DOI:10.1109/ICCIMA.2007.96