Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems

  • Yuechun Xu
  • Zhihua Cui
  • Jianchao Zeng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6466)

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yuechun Xu
    • 1
  • Zhihua Cui
    • 1
    • 2
  • Jianchao Zeng
    • 1
  1. 1.Complex System and Computational Intelligence LaboratoryTaiyuan University of Science and TechnologyTaiyuanP.R. China
  2. 2.State Key Laboratory for Novel Software TechnologyNanjing UniversityJiangsuP.R. China

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