Genetic algorithm-based multi-criteria project portfolio selection
Genetic algorithm-based multi-criteria project portfolio selection
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DOI：
10.1007/s10479-010-0819-6
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发表时间：
2010-12
影响因子：
4.8
通讯作者：
Lean Yu;Shouyang Wang;Fenghua Wen;K. Lai
中科院分区：
文献类型：
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作者：
Lean Yu;Shouyang Wang;Fenghua Wen;K. Lai
项目组合选择是项目管理和工程管理中最重要的决策问题之一。当同时考虑多个选择标准的相互作用和决策者对标准重要性的偏好信息时，项目组合决策往往非常复杂。为了解决这个复杂的决策问题，多标准项目组合选择问题，考虑项目的相互作用，在多个选择标准和DM的偏好，首先制定。在此基础上，提出了一种基于遗传算法的非线性整数规划方法来求解多目标项目组合选择问题。最后，两个说明性的例子，演示和验证的目的。实验结果表明，基于遗传算法的NIP方法可以作为一个可行的和有效的解决方案，多标准的项目组合选择问题。
Project portfolio selection is one of the most important decision-making problems for most organizations in project management and engineering management. Usually project portfolio decisions are very complicated when project interactions in terms of multiple selection criteria and preference information of decision makers (DMs) in terms of the criteria importance are taken into consideration simultaneously. In order to solve this complex decision-making problem, a multi-criteria project portfolio selection problem considering project interactions in terms of multiple selection criteria and DMs’ preferences is first formulated. Then a genetic algorithm (GA)-based nonlinear integer programming (NIP) approach is used to solve the multi-criteria project portfolio selection problem. Finally, two illustrative examples are presented for demonstration and verification purposes. Experimental results obtained indicate that the GA-based NIP approach can be used as a feasible and effective solution to multi-criteria project portfolio selection problems.