DocumentCode
3443089
Title
Improved Particle Swarm Optimization Algorithm for the Stochastic Loader Problem
Author
Pei-Xin, Zhao
Author_Institution
Shandong Univ., Jinan
fYear
2007
fDate
23-25 May 2007
Firstpage
773
Lastpage
776
Abstract
In this paper, the stochastic loader problem is proposed based on the determinate loader problem. For finding the optimal solution, a new particle swarm optimization (PSO) algorithm that combines crossover operators and penalty functions is developed. Comparing with the basic PSO and some other optimization algorithms, this improved PSO algorithm can get better convergence efficiency and higher solution precision. Numerical examples are presented to illustrate the model.
Keywords
materials handling; particle swarm optimisation; stochastic processes; transportation; crossover operators; determinate loader problem; particle swarm optimization algorithm; penalty function; stochastic loader problem; Convergence; Humans; Industrial electronics; Machine intelligence; Multidimensional systems; Particle swarm optimization; Power system stability; Reactive power control; Stochastic processes; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318512
Filename
4318512
Link To Document