DocumentCode :
173077
Title :
Study on Cluster-structured Spiral Optimization
Author :
Suzuki, Kenji ; Tamura, Keiichi ; Yasuda, Kazuhiro
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Metropolitan Univ., Hachioji, Japan
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
94
Lastpage :
99
Abstract :
In recent years, the authors proposed a new multipoint metaheuristics, called Spiral Optimization (SPO), based on analogy of spiral phenomena for continuous optimization problems. The search points moving toward the common center with logarithmic spiral trajectories can find better solutions. In this paper, we propose a Cluster-structured SPO that aims to enhance diversification property to search the solution space more globally than the original SPO. The effectiveness and search performance of the proposed method are confirmed through simulation for typical benchmark functions.
Keywords :
optimisation; search problems; SPO; benchmark functions; cluster-structured spiral optimization; continuous optimization problems; logarithmic spiral trajectory; multipoint metaheuristics; search points; spiral phenomena; Benchmark testing; Convergence; Genetic algorithms; Optimization; Search problems; Spirals; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6973890
Filename :
6973890
Link To Document :
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