| 引用本文: | 高峰,陈英武.型号项目工期风险管理决策模型与自适应遗传算法.[J].国防科技大学学报,2005,27(6):106-112.[点击复制] |
| GAO Feng,CHEN Yingwu.The Risk Management Decision Model of the Model Project Duration and Adaptive Genetic Algorithm[J].Journal of National University of Defense Technology,2005,27(6):106-112[点击复制] |
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| 型号项目工期风险管理决策模型与自适应遗传算法 |
| 高峰, 陈英武 |
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(国防科技大学 信息系统与管理学院，湖南 长沙 410073)
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| 摘要: |
| 针对型号项目的过程特点，建立了型号项目工期风险的管理决策模型。模型考虑了型号项目中活动重叠、活动迭代、活动执行时间的不确定性和可更新资源总量等重要的工期风险影响因素。从模型的特点出发，给出了问题求解的基于自适应遗传算法的仿真优化方法。算例显示，该算法能较好地求解本文的工期风险管理决策问题。 |
| 关键词: 型号项目 工期风险 自适应遗传算法 仿真优化 |
| DOI： |
| 投稿日期：2005-07-20 |
| 基金项目:国家自然科学基金资助项目(70272002) |
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| The Risk Management Decision Model of the Model Project Duration and Adaptive Genetic Algorithm |
| GAO Feng, CHEN Yingwu |
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(College of Information System and Management, National Univ. of Defense Technology, Changsha 410073，China)
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| Abstract: |
| According to the characteristics of the process of the model project, the risk management decision model of the model project is presented. Some essential risk factors of the project duration such as activity overlapping, activity iterations, uncertain activity durations and non-consumable resource amount are integrated into the decision model. Considering the characteristics of the model, a simulation optimization method based on adaptive genetic algorithm is proposed. A case study shows that the algorithm is beneficial. |
| Keywords: model project duration risk adaptive genetic algorithm simulation optimization |
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