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Published in:
2010 | OriginalPaper | Chapter
Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems
Authors : Yuechun Xu, Zhihua Cui, Jianchao Zeng
Published in: Swarm, Evolutionary, and Memetic Computing
Publisher: Springer Berlin Heidelberg
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Nonlinear programming problem is one important branch in operational research, and has been successfully applied to various real-life problems. In this paper, a new approach called Social emotional optimization algorithm (SEOA) is used to solve this problem which is a new swarm intelligent technique by simulating the human behavior guided by emotion. Simulation results show that the social emotional optimization algorithm proposed in this paper is effective and efficiency for the nonlinear constrained programming problems.