随机模糊环境下的项目调度问题在计算机网络，智能交通，工程管理等多个研究领域有着广泛的应用。传统上，项目调度执行过程中子项目之间的关系往往被看成简单先后顺序，未充分考虑子项目之间广泛存在的相互随时间变化的依赖关系（简称时变性）。本项目拟在考虑时变性基础上，对随机模糊时变项目进度优化问题、资源受限的随机模糊时变项目进度优化问题、以及分散决策的随机模糊时变项目进度优化问题这三个崭新问题进行分析，研究上述问题的模型与智能优化算法，并探讨其在在作业车间调度和软件工程调度两个领域的应用。本研究有助于形成随机模糊时变项目调度问题的智能优化理论，且可以平行推广至网络通信，软件工程管理等多个领域，具有重要的理论意义和潜在的应用价值。

Project scheduling problem under the random fuzzy environment is a classical optimization problem, appearing in many applications such as computer network, intelligent transportation, engineering management. Traditionally, the relationship among sub-projects are regarded as the simple sequence, such as early or later, while the universe time-dependence relationship are not considered adequately. In this project, we will consider three novel random fuzzy project scheduling problems from new viewpoint of time-dependence, i.e. random fuzzy time-dependent scheduling problems, resource-constrained random fuzzy time-dependent scheduling problems, and distributed decision-based random fuzzy time-dependent scheduling problems. Furthermore, the intelligent optimization algorithms for solving these random fuzzy time-dependent project scheduling problems, and their applications in job scheduling problem and software project scheduling problem will be studied. The research fruit of this project can help the formulation of project scheduling theory, and it also can be extended to the other application fields such as network communications, software engineering management.