DocumentCode
3395885
Title
A quantum particle swarm optimization
Author
Yang, Shuyuan ; Wang, Min ; Jiao, Licheng
Author_Institution
Dept. of Electr. & Comput. Eng., Xidian Univ., Shanxi, China
Volume
1
fYear
2004
fDate
19-23 June 2004
Firstpage
320
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1330874
Filename
1330874
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