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Minimizing makespan for arbitrary size jobs with release times on P-batch machines with arbitrary capacities
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Scheduling a set of jobs with arbitrary job sizes and release times on a set of P-batch machines with non-identical capacities is considered.

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The objective is to minimize the makespan.

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Two ACO-based meta-heuristics are proposed to solve the problem.

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The heuristics are evaluated against a lower bound and with each other by computational experiments.

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