基于遗传算法的建设工程风险决策多目标优化研究  

Study on multi-objective optimization of risk decision in construction project based on genetic algorithm

作　　者：袁永博[1] 李丹[2] 

机构地区：[1]大连理工大学土木水利学院,辽宁大连116024 [2]鲁东大学土木工程学院,山东烟台264025

出　　处：《四川建筑科学研究》2010年第1期261-265,共5页Sichuan Building Science

摘　　要：在建设工程风险决策过程中,只考虑单个目标因素的决策并不能满足实际工程的要求。为了使决策更加科学、合理,在风险识别和风险评价的基础上,综合考虑包括风险管理成本在内的多个目标因素对决策结果的影响,建立了工程风险多目标决策优化模型,通过多目标遗传算法NSGA-Ⅱ,实现了工程风险决策方案的优化。最后,对优化结果的分析和评价,证明了所建立的模型在解决工程风险决策问题上的有效性和实用性。In the process of risk decision-making in construction projects, considering only one objective could not satisfy the demand of actual projects. In order to make the decision-making more scientific and logical, a mathematical model for multi-objective decision- making of project risk management was set up based on risk identification and risk assessment. More objectives were considered in the model including risk management cost. The model was developed by a multi-objective genetic algorithm, NSGA- Ⅱ , to achieve the optimization of risk decision-making of construction projects. Analysis and evaluation of the result demonstrated that the method was effective and available in solving risk decision-making problems of construction projects.

关 键 词：项目管理 风险决策 遗传算法 多目标优化 

分 类 号：TU721.2[建筑科学—建筑技术科学]