Homayun Afrabandpey - Department of Electerical and Computer Engineering, Isfahan University of Technology (IUT), Isfahan, ۸۴۱۵۶-۸۳۱۱۱, Iran
Meysam Ghaffari - Department of Electerical and Computer Engineering, Isfahan University of Technology (IUT), Isfahan, ۸۴۱۵۶-۸۳۱۱۱, Iran
Abdolreza Mirzaei - Department of Electerical and Computer Engineering, Isfahan University of Technology (IUT), Isfahan, ۸۴۱۵۶-۸۳۱۱۱, Iran
Mehran Safayani - Department of Electerical and Computer Engineering, Isfahan University of Technology (IUT), Isfahan, ۸۴۱۵۶-۸۳۱۱۱, Iran

Difficulties of tackling real-world problems with their growing complexities motivated computer scientists to search for more efficient problem solving approaches. Metaheuristicalgorithms are outstanding examples of these approaches. Bat Algorithm (BA) is a new meta-heuristic optimizationalgorithm, 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 parameterinitialization. Simulation results on some mathematical benchmark functions demonstrate the validity of proposed algorithm,in which the Chaotic Bat Algorithm (CBA) outperforms the classical BA.

Bat Algorithm, Chaos, Evolutionary Algorithm, Meta-heuristics