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Research of Multi-Resource Constrained Project Scheduling base on the genetic algorithm

机译:基于遗传算法的多资源约束项目调度研究

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The software project scheduling is a complicated problem. The risk and the cost of the software project can be controlled well by a remarkable scheduling. In this paper, an optimization model for Multi-Resource Constrained Project Scheduling is presented to reduce the duration and the cost. A genetic algorithm Base on the Genetic Algorithm is proposed. It gives the method of two sections coding, the fitness_evaluating and the gene repair policy for tasks sequence constraint. The effectiveness of this algorithm is verified by the simulation results.
机译:软件项目计划是一个复杂的问题。通过出色的调度,可以很好地控制软件项目的风险和成本。本文提出了一种多资源约束项目调度的优化模型,以减少工期和成本。提出了一种基于遗传算法的遗传算法。它给出了两部分编码的方法,适应性评估和任务序列约束的基因修复策略。仿真结果验证了该算法的有效性。

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