Resource leveling is a variant of resource-constrained project scheduling in which a non-regular objective function, the resource availability cost, is to be minimized. We present a branch-and-price approach together with a new heuristic to solve the more general turnaround scheduling problem. Besides precedence and resource constraints, also availability periods and multiple modes per job have...

In this paper, the multi-mode resource constrained project scheduling problem with discounted cash flows is considered. The objective is the maximization of the net present value of all cash flows. Time value of money is taken into consideration, and cash inand outflows are associated with activities and/or events. The resources can be of renewable, nonrenewable, and doubly constrained resource...

This paper details our submission to the MISTA 2013 challenge, which deals with the multi-mode resource-constrained multi-project scheduling problem (MRCMPSP). Kolisch and Hartmann [4] recommend metaheuristics as the best-performing methods when tackling the resource-constrained project scheduling problem with a single project and without multiple-modes. Most of these metaheuristics share many ...

Convolutional Neural Networks (CNNs) are widely used in various systems, including resource-constrained embedded systems or IoT devices. In such it is typical to deploy compressed pruned CNNs, instead of original ones, at the cost reduced accuracy. Existing CNN pruning techniques have primarily focused on minimizing resource requirements. However, today’s increasingly dynamic both demands and a...

This paper presents an improved harmony search metaheuristic for the multi-mode resource-constrained project scheduling problem (MRCPSP). The hybrid metaheuristic presented is an improved version of the forbidden set oriented “Sounds of Silence” harmony search metaheuristic. In the original approach a simple but efficient "rule of thumb" was applied to eliminate the hidden resource conflicts. T...