DocumentCode :
617936
Title :
The Spiral Optimization and its stability analysis
Author :
Tamura, Keiichi ; Yasuda, Kazuhiro
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Metropolitan Univ., Tokyo, Japan
fYear :
2013
fDate :
20-23 June 2013
Firstpage :
1075
Lastpage :
1082
Abstract :
This paper first completes Spiral Optimization (SPO), which is a new metaheuristics method proposed by the authors based on analogy of spiral phenomena in nature, by refining our previous studies and adding some new matters. Secondary, we point out that the SPO model has a dynamic equilibrium point and strictly analyze its asymptotic stability and ε-stability. In addition, the stability analysis results are applied to a simple setting method for a parameter of SPO. Finally, we evaluate the effectiveness and peculiarity of SPO through numerical experiments for some benchmark problems and comparing other representative methods PSO and DE.
Keywords :
asymptotic stability; optimisation; ε-stability.analysis; SPO model; asymptotic stability analysis; benchmark problems; dynamic equilibrium point; metaheuristics method; spiral optimization; spiral phenomena; stability analysis; Asymptotic stability; Convergence; Equations; Mathematical model; Optimization; Spirals; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
Type :
conf
DOI :
10.1109/CEC.2013.6557686
Filename :
6557686
Link To Document :
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