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IPM
30
YEARS OLD

“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 8944
School of Cognitive Sciences
  Title:   Heuristic function optimization inspired by social competitive behaviors
  Author(s):  Ali Borji
  Status:   Published
  Journal: Journal of Applied Sciences
  No.:  11
  Vol.:  8
  Year:  2008
  Pages:   2105-2111
  Supported by:  IPM
  Abstract:
The aim of present study is to introduce a heuristic optimization method which is inspired from competitions in social behaviors. Competitive behaviors could be observed in large number of situations of human social life. Particularly we propose a global optimization algorithm which is stochastic, iterative and population-based like genetic algorithms and particle swarm optimization. In this method, the intra and inter group competitions among parties in a parliament, trying to take the control of the parliament are simulated. Performance of this method for function optimizations over some benchmark multi-dimensional functions, of which global and local minimizes are known, is compared with traditional genetic algorithms.

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