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The job shop scheduling problem (JSSP) is to decide a schedule of jobs that is endowed with pre-set operation series in a multi-machine atmosphere. In the traditional JSSP, n-jobs are processed to the finishing point on munrelated machines. For each and every task, technology limitations spell out an absolute and distinctive routing which is set and identified earlier. In addition, processing periods are set and identified previously [1]. A number of production resources are available which are utilized according to diverse methods by the task for processing. In fact, each job has its own specific route in the production site. Every stage of the routing is a unitary function performed by one/multiple resource (s) in the course of a specified processing interval. Nevertheless, a resource is incompetent to carry out two operations simultaneously, in other words resources are non-cumulative [2]. The problem of scheduling jobs in FJSP was divided into two subproblems. The first one was the routing that allocates every task to a machine chosen from among a set of competent machine, while the next was the scheduling that includes sequencing the allocated tasks on all machines so as to achieve a viable schedule to reduce the predefined objective task [3]. For each task there is a job to which it belongs, a machine on which it has to be processed, a prearranged processing interval on that machine as well as a preset processing order on the machines. The issue is to reduce the makespan simultaneously making certain that multiple jobs cannot be processed together on the same machine, and also ensuring that when a job is commenced, it has to be …