Title :
Using hybrid social emotional optimization algorithm with Metropolis rule to solve nonlinear equations
Author :
Wu, Jianna ; Cui, Zhihua ; Liu, Jing
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Social emotional optimization algorithm (SEOA) is a novel swarm intelligent population-based optimization algorithm by simulating the human social behaviors. How- ever, as a stochastic optimization algorithm, it is easily trapped into local optima. In this paper, we propose a new hybrid algorithm combining with Metropolis rule to enhance the escaping capability from local optima. Further- more, the nonlinear equation solving problems are used to test, and compared with the standard version. Simulation results show it is effective.
Keywords :
multi-agent systems; nonlinear equations; optimisation; SEOA; human social behaviors; hybrid social emotional optimization algorithm; metropolis rule; nonlinear equations; stochastic optimization algorithm; swarm intelligent population-based optimization algorithm; Humans; Indexes; Mathematical model; Nonlinear equations; Optimization; Software algorithms;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC ), 2011 10th IEEE International Conference on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4577-1695-9
DOI :
10.1109/COGINF.2011.6016173