TY - JFULL AU - Shahla Shoghian and Maryam Kouzehgar PY - 2012/1/ TI - A Comparison among Wolf Pack Search and Four other Optimization Algorithms T2 - International Journal of Computer and Information Engineering SP - 1618 EP - 1624 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/4835 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 72, 2012 N2 - The main objective of this paper is applying a comparison between the Wolf Pack Search (WPS) as a newly introduced intelligent algorithm with several other known algorithms including Particle Swarm Optimization (PSO), Shuffled Frog Leaping (SFL), Binary and Continues Genetic algorithms. All algorithms are applied on two benchmark cost functions. The aim is to identify the best algorithm in terms of more speed and accuracy in finding the solution, where speed is measured in terms of function evaluations. The simulation results show that the SFL algorithm with less function evaluations becomes first if the simulation time is important, while if accuracy is the significant issue, WPS and PSO would have a better performance. ER -