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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 8923
School of Cognitive Sciences
  Title:   A New Approach to Global Optimization Motivated by Parliamentary Political Competitions
  Author(s): 
1.  Ali Borji
2.  Mandana Hamidi
  Status:   Published
  Journal: IJICIC
  No.:  6
  Vol.:  5
  Year:  2009
  Pages:   1643-1653
  Supported by:  IPM
  Abstract:
Several biology inspired optimization algorithms such as Genetic Algorithms, Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO), etc have previously been proposed by researchers. Recent approaches in numerical optimization have shifted to motivate from complex human social behaviors. In this paper, a new optimization algorithm, namely parliamentary optimization algorithm (POA) is proposed by studying the competitive and collaborative behaviors of political parties in a parliament. Experimental results reveal that our proposed approach is superior to PSO over some benchmark multidimensional functions.

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