Abstract
The paper discusses the challenge of organizing the execution of separate tasks on machines that are otherwise similar. The goal is a lower number of Makes. We create, examine, and evaluate several local search techniques, including the (BAB) , (GA) and (TS) algorithms. Based on past computational experience, we know that these local search algorithms can efficiently complete up to 2,000 tasks.
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