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