Title :
The Application of an Improved PSO Based on the Quantum Genetic Algorithm in the Submersible Path-Planning
Author :
Yu Fei ; Liu Yang-lei
Author_Institution :
Coll. of Sci., Harbin Eng. Univ., Harbin, China
Abstract :
An improved particle swarm optimization algorithm (PSO) combined with quantum genetic algorithm is proposed, to solve the problems that the PSO is difficult to converge for benchmark complex problems and it´s parameters are hard to define. The new algorithm is used for submersible path planning and simulation on some standard test functions. The results show that the improved is superior to the standard PSO in optimization ability and the convergence rate, and it can find the optimal path faster.
Keywords :
genetic algorithms; particle swarm optimisation; benchmark complex problems; improved PSO application; quantum genetic algorithm; submersible path planning; Genetic algorithms; Logic gates; Optimization; Particle swarm optimization; Programming; Simulation; Underwater vehicles;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873381
