A novel bat algorithm based on chaos for optimization tasks

Abstract

Bat Algorithm (BA) is a new meta-heuristic optimization algorithm, which has been developed rapidly and has been applied in different optimization tasks in recent years. In this paper an improved version of Bat algorithm with chaos is represented. The approach is based on the substitution of the random number generator (RNG) with chaotic sequences for parameter initialization.