Abstract
Job shop scheduling (JSS) problems consist of a set of machines and a collection of jobs to be scheduled.
Each job consists of several operations with specified processing order. In this paper, Job Shop Model problem is scheduled by using Genetic Algorithm (GA), Simulated Annealing (SA) and Hybrid Simulated Annealing (HSA). Those three are considered as different treatments of each problem and are compared with the objective measure of number of tardy jobs in a job shop environment. The conclusion is that the performance measure Number of tardy jobs is minimum in the most of the cases under Genetic Algorithm when compared with other two algorithms.
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