Physicians regularly face the challenge of differential diagnosis, i.e., differentiating between diseases with similar symptoms. As a first step, a physician forms an initial belief for each possible disease. In the second step, the physician conducts more tests and examinations over multiple...

This paper addresses the capacitated vehicle routing problem with unsplittable stochastic demand (UCVRP), in the limited information regime. We integrate ideas from region partitioning and online bin packing to propose a provably near-optimal and scalable algorithm. Our algorithm performs double...

Many brain–computer interface (BCI) studies overlook the channel optimization due to its inherent complexity. However, a careful channel selection increases the performance and users’ comfort while reducing the cost of the system. Evolutionary meta-heuristics, which have demonstrated their...

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model is essential to generate relief items distribution schedules to...

The flower pollination algorithm (FPA) is a nature-inspired optimization algorithm that mimics the pollination behaviour of flowering plants. Despite the promising performance of FPA in solving single objective optimization problems, its convergence still poses challenges in practice. This study...

The (R, s, S) is a stochastic inventory control policy widely used by practitioners. In an inventory system managed according to this policy, the inventory is reviewed at instant R; if the observed inventory position is lower than the reorder level s an order is placed. The order’s quantity is...