Study of Particle Swarm Inertia Weight Adjustment Method Based on Fitness Changes after Multi-Step Iteration

Shu Hui Zheng; Ling Yu Zhang

doi:10.4028/www.scientific.net/AMM.740.696

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Study of Particle Swarm Inertia Weight Adjustment...

Study of Particle Swarm Inertia Weight Adjustment Method Based on Fitness Changes after Multi-Step Iteration

Abstract:

Considering the inertia weight adjustment problems in the standard particle swarm optimization algorithm, a kind of particle swarm inertia weight adjustment method based on multi-step iteration fitness changes was put forward, and by analyzing if particle optimal fitness values was further optimized after a certain number of iterations, then how to set the inertia weight was determined, which can balance the particle swarm global optimization and local optimization. Simulation results show that the improved algorithm was better than the standard particle swarm optimization algorithm in convergence speed and accuracy of solution.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

696-701

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.696

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Online since:

March 2015

Authors:

Shu Hui Zheng*, Ling Yu Zhang

Keywords:

Fitness, Inertia Weight, Multi-Step Iteration, Particle Swarm Optimization

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