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计算机应用研究 2013
Multi-project scheduling problem with resource idle cost
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Abstract:
By considering the idle resources cost in resources distribution process, this paper proposed a multi-objective coordination optimization model with the cost of multi-project duration daly and idle resources integrated synthetically, aiming at achieving integration scheduling optimization of resource-constrained multi-project. This model improved the efficiency of resource utilization, and achieved intergration scheduling in the case of minimal target cost in theory. Making comprehensive used of the advantage of simulated annealing algorithm and genetic algorithm, it designed an annealing genetic algorithm to solve the model. It carried a case study out to demonstrate the effectiveness of the proposed algorithm and model.