DocumentCode
1794840
Title
Research on route planning based on quantum-behaved particle swam optimization algorithm
Author
Ting Li ; Jinsheng Zhang ; Shicheng Wang ; Zhifeng Lv
Author_Institution
Precise Guidance & Simulation Lab. High-tech Inst., Xi´an, China
fYear
2014
fDate
8-10 Aug. 2014
Firstpage
335
Lastpage
339
Abstract
Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is employed to solve route planning problems in view of premature convergence of Particle Swarm Optimization (PSO) algorithm. The simulation results show that compared with PSO, QPSO has stronger global search ability and faster convergence speed. The feasibility and efficiency of QPSO on route planning is proved.
Keywords
particle swarm optimisation; quantum theory; vehicle routing; QPSO; global search ability; premature convergence; quantum-behaved particle swam optimization algorithm; route planning; Convergence; Heuristic algorithms; Optimization; Particle swarm optimization; Planning; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location
Yantai
Print_ISBN
978-1-4799-4700-3
Type
conf
DOI
10.1109/CGNCC.2014.7007253
Filename
7007253
Link To Document