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A Modified Particle Swarm Optimization with an Adaptive Acceleration Coefficients

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2 Author(s)
Tang Ziyu ; Sch. of Geosci. & Environ. Eng., Central South Univ., Changsha, China ; Zhang Dingxue

An adaptive particle swarm optimization (PSO) was proposed based on a version of PSO without the velocity of the previous iteration. To overcome premature searching for the velocity of a particle at zero, reinitialize the velocity of the particle with a random velocity. Simultaneity, to enhance exploration in the early stage and exploitation during the latter, we introduce exponential time-varying acceleration coefficients. The simulation results show that the algorithm has better probability of finding global optimum and mean best value than others algorithm.

Published in:

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on  (Volume:2 )

Date of Conference:

18-19 July 2009