Scheduling is an essential function in production management. Scheduling determines what is going to be made, when, where and with what resources. Parallel machines scheduling problems have many industrial applications. This paper presents a hybrid approach using a genetic algorithm to investigate the identical parallel machine scheduling problem with an objective to minimize the tardiness penalty cost. A numerical example is presented to demonstrate the approach.
A Genetic Algorithm Approach for Scheduling Jobs on Identical Parallel Machines
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