DocumentCode :
3423527
Title :
Niche Artificial Fish Swarm Algorithm based on quantum theory
Author :
Zhu, Kongcun ; Jiang, Mingyan ; Cheng, Yongming
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1425
Lastpage :
1428
Abstract :
Artificial Fish Swarm Algorithm (AFSA) is a new swarm intelligence optimization algorithm which is designed to find the single optimal solution for a given problem. But in some practical applications, the global optimal solution and some near optimal solutions are both needed. So a novel Niche Quantum Artificial Fish Swarm Algorithm (NQAFSA) is proposed in this paper to solve these problems. The quantum mechanism is introduced into the AFSA to increase the diversity of species. Artificial Fish (AF) are divided into several sub-swarms to form the niche and the restricted competition selection (RCS) strategy is used to maintain the niche. The performance of NQAFSA is validated by the experimental results.
Keywords :
particle swarm optimisation; quantum theory; global optimal solution; niche quantum artificial fish swarm algorithm; quantum theory; restricted competition selection; swarm intelligence optimization; Algorithm design and analysis; Marine animals; Optimization; Particle swarm optimization; Quantum computing; Quantum mechanics; Signal processing algorithms; AFSA; RCS strategy; niche; quantum mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656939
Filename :
5656939
Link To Document :
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