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由于受到资源、技术等条件的限制,工程项目的活动往往存在多个资源使用计划(即执行模式)。项目实施过程中通常有诸如天气、设备、材料等不确定性因素,这会导致项目活动的工期和成本均具有模糊性。首先,分析了模糊网络计划中的工期、成本及执行模式,基于模糊规划理论构建了工程项目在多模式环境下的工期-成本均衡优化模型;其次,为了求解该模型,在遗传算法的基础上嵌入了模糊模拟和神经网络,形成快速收敛的混合智能算法;最后,通过一个工程实例仿真实验,表明该算法能够准确快速地求解工程项目的多模式工期-成本均衡优化问题。
Due to resource, technology and other conditions, project activities often have multiple resource usage plans (ie, execution mode). During the implementation of the project, there are usually uncertain factors such as weather, equipment and materials, which will lead to the ambiguity of the project duration and cost. Firstly, the construction period, cost and execution mode of fuzzy network plan are analyzed. Based on the theory of fuzzy programming, the construction period-cost equilibrium optimization model of construction project under multi-mode environment is constructed. Secondly, in order to solve this model, on the basis of genetic algorithm Embed fuzzy simulation and neural network to form a fast convergent hybrid intelligent algorithm. Finally, an example simulation shows that this algorithm can accurately and quickly solve the multi-model project-cost balance optimization problem.