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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 11 | Page No.: 2105-2111
DOI: 10.3923/jas.2008.2105.2111
 
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Heuristic Function Optimization Inspired by Social Competitive Behaviors

Ali Borji

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 optimization over some benchmark multi-dimensional functions, of which global and local minimums are known, is compared with traditional genetic algorithms.
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How to cite this article:

Ali Borji , 2008. Heuristic Function Optimization Inspired by Social Competitive Behaviors. Journal of Applied Sciences, 8: 2105-2111.

DOI: 10.3923/jas.2008.2105.2111

URL: https://scialert.net/abstract/?doi=jas.2008.2105.2111

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