A New Global Optimization Algorithm Inspired by Parliamentary Political Competitions

摘要

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.