An optimal scheduling reduces the completion time (makespan) of jobs, and finally increase profits in today's competitive environment. Open shop scheduling problem (OSSP) involves a set of activities that should be performed on a limited set of machines. The aim of scheduling in an open shop is to provide a schedule for the execution of the entire operation so that the completion time of all operations is reduced. OSSP has a large solution space and belongs to NP-hard problems. So far, various algorithms are developed for OSSP. In this paper we propose a new optimization algorithm named Bat Algorithm (BA) for solving OSSP which has a relative advantage over other algorithms. Experimental results show that the proposed algorithm has high performance and increases the reliability and efficiency of the system. تفاصيل المقالة