【作者】 李平；

【导师】 毕星；

【作者基本信息】 天津大学 ， 管理科学与工程， 2004， 硕士

【摘要】 本文主要研究了工程进度的模糊估测及对模糊进度计划的多目标优化，提出了模糊进度对资源、工期、成本等多目标优化的数学模型，并利用遗传算法对模型进行求解，最后通过实例计算，表明本课题的可行性和有效性。本文将工程进度视为模糊数，通过分析资金、资源和天气等对进度的影响，应用模糊数学的理论构造成本与进度的模糊函数，并采用遗传算法得到最优解或近似最优解，从而得到在不确定条件下的最小成本。本课题同时实现了模糊数学和遗传算法在进度-成本平衡中的应用，应用本课题成果，得到最优进度计划和最小成本，以此为参照，有利于在工程实施中进行进度和成本控制，实现最大效益。更多还原

【Abstract】 This thesis deals with the fuzzy estimate and multicriteria optimization of construction project scheduling, and presents a fuzzy multicriteria computational optimal scheduling model, which integrates the time/cost trade-off model, resource-limited model, and resource leveling model. A searching technique using genetic algorithms（GAs）is adopted in this model. A case study is presented to demonstrate the feasibility and validity of the method. In this thesis, construction project scheduling is treated as a fuzzy number, with analyzing the influence of financing, resource and weather to construction project scheduling, the fuzzy model about time and cost is presented based on fuzzy set theory. The optimal or near-optimal value is obtained using genetic algorithms（GAs）,then the minimum cost in the condition of the uncertain activity durations is gained.This thesis fills up the blank of the optimization of construction project scheduling in the condition of the uncertain activity durations, and realize the application of fuzzy set theory to time/cost trade-off, which is the pioneer in our country. The model can effectively provide the optimal fuzzy profiles of activity duration and resource amounts under the constraint of limited resources, which is propitious to control construction project time and cost and to get the maximum benefits.更多还原