DocumentCode :
2343667
Title :
A novel chaos particle swarm optimization (PSO) and its application in pavement maintance decision
Author :
Shen, Yi ; Bu, Yunfeng ; Yuan, Mingxin
Author_Institution :
Dept. of Mech. Eng., Huaiyin Inst. of Technol., Huaiyin
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
3521
Lastpage :
3526
Abstract :
Particle swarm optimization (PSO) algorithm is a new random global optimization algorithm, and the simple PSO (SPSO) is short of high convergence speed, strong optimization ability and so on. To improve the optimization property of SPSO, a novel chaos particle swarm optimization (CPSO) algorithm is presented. The characteristics of ergodicity and randomness of chaotic variables are considered to produce the initial positions of particles. On the basis of population diversity evaluated through ldquodistance-to-average-pointrdquo, the local search is carried out for mature individuals by chaos disturbance, which is helpful for them to jump out of the local minimum. Compared with the corresponding other PSO algorithms, the function optimization results indicate that the searching properties including searching efficiency and precision of CPSO algorithm are obviously better than other PSO algorithms. Finally, aiming at the expressway pavement maintenance, the CPSO algorithm is used to optimize the pavement maintenance decision.
Keywords :
maintenance engineering; particle swarm optimisation; road building; chaos disturbance; chaos particle swarm optimization; chaotic variables ergodicity; chaotic variables randomness; expressway pavement maintenance; pavement maintenance decision; random global optimization algorithm; Artificial intelligence; Birds; Chaos; Educational institutions; Genetic algorithms; Marine animals; Mathematical programming; Mechanical engineering; Optimization methods; Particle swarm optimization; chaos particle swarm optimization; particle swarm optimization; pavement maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138861
Filename :
5138861
Link To Document :
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