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Theoretical approach minimizes tardiness and flow time in scheduling jobs on unrelated machines, indicating effectiveness in multi-objective problems.
The challenge of scheduling a multi objective of unrelated parallel processors is a considered. During this environment, we scheduling a set of n jobs have to be on m unrelated parallel machines. A case wording is considered to schedule jobs in a cutting workshop to minimize the aggregate of the experiments' whole flow time, whole tardiness, whole earliness, and whole late work. The notion kernel beneath consideration with a chance release date. The dominant features and evaluate are proposed for substantial amount of randomly created.
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Hadi et al. (2025) studied this question.
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