论文:2016,Vol:34,Issue(4):724-730
引用本文:
罗淑娟, 白思俊, 郭云涛. 决策者偏好交互项目组合选择模型及算法优化研究[J]. 西北工业大学学报
Luo Shujuan, Bai Sijun, Guo Yuntao. Research of Project Portfolio Selection Model and Optimization Considering Interdependencies based on Preferences Incorporation of Decision Maker[J]. Northwestern polytechnical university

决策者偏好交互项目组合选择模型及算法优化研究
罗淑娟, 白思俊, 郭云涛
西北工业大学 管理学院, 陕西 西安 710072
摘要:
项目组合选择是战略项目管理决策的重要环节,目前基于决策者偏好的交互项目组合选择的研究仍然在模型和算法上存在不足。首先提出级别优先模型细致划分了项目间的偏好关系,并引入了项目间的协同交互,使模型更加完备。进而结合该模型改进了多目标粒子群算法,加快其收敛速度,并拓展其非劣解的多样性。在考虑决策者偏好和项目间交互约束的条件下,分别对偏好模型和模型求解算法进行了仿真验证。仿真结果表明,采用级别优先模型所得的非劣解更加接近项目组合选择的最优解,改进粒子群算法的搜索速度更快。
关键词:    粒子群优化    项目组合选择    项目交互    决策者偏好    级别优先模型    改进粒子群优化   
Research of Project Portfolio Selection Model and Optimization Considering Interdependencies based on Preferences Incorporation of Decision Maker
Luo Shujuan, Bai Sijun, Guo Yuntao
School of Management, Northwestern Polytechnical University, Xi'an, 710072
Abstract:
Project Portfolio Selection is known as the essential element of strategic project management and decision. There are also some disadvantages in model and methods which are based on the project portfolio selection considering interdependencies and preference incorporation of decision maker. The paper proposes an novel outranking model to classify the preference relationship between different projects, and it also bring the synergies and interdependencies into consideration which makes the model more complete. Moreover, it proposes the improved particle swarm optimization algorithm based on the model which speeds up convergence an expand the diversity of non-dominant solutions simultaneously. In the restrained condition of preferences incorporation and interdependencies, the paper comes up with the experiments to verify the model and method respectively. The results indicate that the non-dominant solutions achieved by the outranking model are likely to the optimum of project portfolio selection, and the improved particle swarm optimization search the results faster.
Key words:    particle swarm optimization(PSO)    project portfolio selection    interdependencies    preference incorporation    outranking model    improved particle swarm optimization   
收稿日期: 2016-03-01     修回日期:
DOI:
基金项目: 国家自然科学基金(71172123)与陕西省软科学研究计划-重点项目(2015KRM039)资助
通讯作者:     Email:
作者简介: 罗淑娟(1988-),女,西北工业大学博士研究生,主要从事项目组合管理与优化方法研究。
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