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