Title :
Quantum-Inspired Swarm Evolution Algorithm
Author :
Yourui, Huang ; Chaoli, Tang ; Shuang, Wang
Author_Institution :
Anhui Univ. of Sci. & Technol., Huainan
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;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425481
