DocumentCode
2703593
Title
Quantum-Inspired Swarm Evolution Algorithm
Author
Yourui, Huang ; Chaoli, Tang ; Shuang, Wang
Author_Institution
Anhui Univ. of Sci. & Technol., Huainan
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
208
Lastpage
211
Abstract
This paper proposes a novel quantum swarm evolution algorithm, called a quantum-inspired swarm evolution algorithm (QSEA), which is based on the concept and principles of quantum computing. The proposed algorithm adopts quantum angle to express Q-bit and improved particle swarm optimization to update automatically. After the quantum-inspired swarm evolution algorithm is described, the experiment results on the benchmark functions are given to show its efficiency.
Keywords
particle swarm optimisation; quantum computing; particle swarm optimization; quantum computing; quantum inspired swarm evolution algorithm; Biology computing; Computer networks; DNA computing; Evolution (biology); Evolutionary computation; Particle swarm optimization; Physics computing; Quantum computing; Quantum mechanics; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3073-4
Type
conf
DOI
10.1109/CISW.2007.4425481
Filename
4425481
Link To Document