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
Link To Document :
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