Chaotic Genetic Algorithm based on Lorenz Chaotic System for Optimization Problems
Reza Ebrahimzadeh, Mahdi Jampour · International Journal of Intelligent Systems and Applications · 2013
Very recently evolutionary optimization algorith ms use the Genetic Algorithm to imp rove the result of Optimizat ion problems.Several processes of the Genetic A lgorith m are based on 'Random', that is fundamental to evolutionary algorith ms, but important defections in the Genetic Algorithm are local convergence and high tolerances in the results, they have happened for randomness reason.In this paper we have prepared pseudo random numbers by Lorenz chaotic system for operators of Genetic Algorith m to avoid local convergence.The experimental results show that the proposed method is much more efficient in comparison with the traditional Genetic Algorith m for solving optimization problems.