A new global optimization algorithm inspired by parliamentary political competitions

Authors:
Ali Borji
Affiliations:
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran
Venue:
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Year:
2007

Citing 2
Cited 1

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Ant system: optimization by a colony of cooperating agents

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

A novel chemistry based metaheuristic optimization method for mining of classification rules

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.01

Visualization

Abstract

A new numerical optimization algorithm inspired by political competitions during parliamentary head elections is proposed in this paper. Competitive behaviors could be observed in many aspects of human social life. Our proposed algorithm is a stochastic, iterative and population-based global optimization technique like genetic algorithms and particle swarm optimizations. Particularly, our method tries to simulate the intra and inter group competitions in trying to take the control of the parliament. Performance of this method for function optimization over some benchmark multidimensional functions, of which global and local minimums are known, is compared with traditional genetic algorithms.