Title :
A quantum particle swarm optimization
Author :
Yang, Shuyuan ; Wang, Min ; Jiao, Licheng
Author_Institution :
Dept. of Electr. & Comput. Eng., Xidian Univ., Shanxi, China
Abstract :
The particle swarm optimization algorithm is a new methodology in evolutionary computation. It has been found to be extremely effective is solving a wide range of engineering problems, however, it is of low efficiency in dealing with the discrete problems. In this paper, a new discrete particle swarm optimization algorithm based on quantum individual is proposed. It is simpler and more powerful than the algorithms available. The simulation experiments and its application in the CDMA also prove its high efficiency.
Keywords :
code division multiple access; evolutionary computation; optimisation; CDMA; discrete particle swarm optimization algorithm; discrete problems; evolutionary computation; quantum particle swarm optimization; Ant colony optimization; Assembly; Birds; Marine animals; Multiaccess communication; Particle swarm optimization; Particle tracking; Power engineering and energy; Power engineering computing; Whales;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1330874
