Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the o...Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the optimal levels of activity durations and activity costs which satisfy the project goal(s), leads to a balance between the project completion time and the project total cost. A large amount of literature has studied this problem under various behavior of cost function. But, in all of them, influence of discount has not been in-vestigated. Hence, in this paper, TCTP would be studied considering the influence of discount on the re-source price, using genetic algorithm (GA). The performance of proposed idea has been tested on a medium scale test problem and several computational experiments have been conducted to investigate the appropriate levels of proposed GA considering accuracy and computational time.展开更多
现有的网络计划在描述项目时已不能适应越来越大型和复杂的C IM S项目,为此,对现有网络计划中任务的约束条件及逻辑关系进行了扩充,并给出了扩充网络计划中时间参数的计算.在此基础上,提出了一种基于样本的成本优化算法,有效地解决了实...现有的网络计划在描述项目时已不能适应越来越大型和复杂的C IM S项目,为此,对现有网络计划中任务的约束条件及逻辑关系进行了扩充,并给出了扩充网络计划中时间参数的计算.在此基础上,提出了一种基于样本的成本优化算法,有效地解决了实际项目中的成本优化问题.展开更多
文摘Time-cost trade off problem (TCTP), known in the literature as project crashing problem (PCP) and project speeding up problem (PSP) is a part of project management in planning phase. In this problem, determining the optimal levels of activity durations and activity costs which satisfy the project goal(s), leads to a balance between the project completion time and the project total cost. A large amount of literature has studied this problem under various behavior of cost function. But, in all of them, influence of discount has not been in-vestigated. Hence, in this paper, TCTP would be studied considering the influence of discount on the re-source price, using genetic algorithm (GA). The performance of proposed idea has been tested on a medium scale test problem and several computational experiments have been conducted to investigate the appropriate levels of proposed GA considering accuracy and computational time.
