DocumentCode
2540437
Title
Using social cognitive optimization algorithm to solve nonlinear equations
Author
Cui, Zhihua ; Cai, Xingjuan
Author_Institution
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear
2010
fDate
7-9 July 2010
Firstpage
199
Lastpage
203
Abstract
Finding feasible solution for a nonlinear equations is a very challenging problem and generally needs a high computational efforts. In this paper, a new swarm intelligent algorithm, social cognitive optimization algorithm (SCOA), is proposed to solve this problem. In SCOA, each individual simulates one natural person. All of them are communicated through cooperation and competition to increase social status. The winner with the highest status will be the final solution. Simulation results show this new algorithm can solve the problem significantly.
Keywords
cognitive systems; nonlinear equations; optimisation; nonlinear equations; social cognitive optimization algorithm; swarm intelligent algorithm; Algorithm design and analysis; Indexes; Mathematical model; Nonlinear equations; Nonlinear systems; Optimization; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-8041-8
Type
conf
DOI
10.1109/COGINF.2010.5599742
Filename
5599742
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