Chaotic Optimization Algorithm Based on the Modified Probability Density Function of Lozi Map

Abstract

Chaos optimization algorithms (COAs) usually utilize different chaotic maps(logistic, tent, H´enon, Lozi,...) to generate the pseudo-random numbers mapped as the design variables for global optimization. In this paper we are going to pro- pose new technique to improve the chaotic optimization algorithm by using some transformations to modify the density of the map instead of changing it.