Particle Swarm Algorithm Based on Boundary Buffering-Natural Evolution and its Application in Constrained Optimization

Tie Bin Wu; Tao Yun Zhou; Wen Li; Gao Feng Zhu; Yun Lian Liu

doi:10.4028/www.scientific.net/AMM.670-671.1517

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 670-671Particle Swarm Algorithm Based on Boundary...

Particle Swarm Algorithm Based on Boundary Buffering-Natural Evolution and its Application in Constrained Optimization

Abstract:

A particle swarm algorithm (PSO) based on boundary buffering-natural evolution was proposed for solving constrained optimization problems. By buffering the particles that cross boundaries, the diversity of populations was intensified; to accelerate the convergence speed and avoid local optimum of PSO, natural evolution was introduced. In other words, particle hybridization and mutation strategies were applied; and by combining the modified feasible rules, the constrained optimization problems were solved. The simulation results proved that the method was effective in solving this kind of problems.

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Periodical:

Applied Mechanics and Materials (Volumes 670-671)

Pages:

1517-1521

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.670-671.1517

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Online since:

October 2014

Authors:

Tie Bin Wu, Tao Yun Zhou*, Wen Li, Gao Feng Zhu, Yun Lian Liu

Keywords:

Constrained Optimization, Hybridization, Optimum, PSO

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