Project scheduling problem with mixed uncertainty of randomness and fuzziness
Project scheduling problem with mixed uncertainty of randomness and fuzziness
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DOI：
10.1016/j.ejor.2006.09.055
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发表时间：
2007-11
期刊：
影响因子：
--
通讯作者：
Hua Ke;Baoding Liu
中科院分区：
文献类型：
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作者：
Hua Ke;Baoding Liu
项目调度问题就是确定资源分配的时间表，使总成本和完工时间达到平衡。本文研究了具有随机性和模糊性混合不确定性的项目调度问题，其中活动持续时间假设为随机模糊变量。针对不同的管理需求，建立了三种随机模糊模型：期望成本最小化模型、(α，β)-成本最小化模型和机会最大化模型。给出了一些不确定函数的随机模糊模拟，并将其嵌入遗传算法中，设计了一种混合智能算法。最后，为了说明该算法的有效性，给出了一些数值实验。
Project scheduling problem is to determine the schedule of allocating resources so as to balance the total cost and the completion time. This paper considers project scheduling problem with mixed uncertainty of randomness and fuzziness, where activity duration times are assumed to be random fuzzy variables. Three types of random fuzzy models as expected cost minimization model, (α,β)-cost minimization model and chance maximization model are built to meet different management requirements. Random fuzzy simulations for some uncertain functions are given and embedded into genetic algorithm to design a hybrid intelligent algorithm. Finally, some numerical experiments are given for the sake of illustration of the effectiveness of the algorithm.