Adaptive resource allocation in multimodal activity networks
针对多模态活动网络，提出一种在随机条件下自适应分配资源的方法，采用动态规划优化，并给出计算量适中的近似方案。
In practice, project managers must cope with uncertainty , and must manipulate the allocation of their resources adaptively in order to achieve their ultimate objectives. Yet, treatments of the well-known ‘resource constrained project scheduling problem’ have been deterministic and static, and have addressed mostly unimodal activities. We present an approach to resource allocation under stochastic conditions for multimodal activity networks. Optimization is via dynamic programming , which proves to be demanding computationally. We suggest approximation schemes that do not detract significantly from optimality , but are modest in their computational requirements.