Federated learning is a recently proposed distributed machine learning paradigm for privacy
preservation, which has found a wide range of applications where data privacy is of primary …

Due to new regulations and further technological progress in the field of electric vehicles, the
research community faces the new challenge of incorporating the electric energy based …

The pickup and delivery problem with time windows is the problem of serving a number of
transportation requests using a limited amount of vehicles. Each request involves moving a …

We present a unified heuristic which is able to solve five different variants of the vehicle
routing problem: the vehicle routing problem with time windows (VRPTW), the capacitated …

In this paper we present a genetic algorithm (GA)-based heuristic for solving the generalised
assignment problem. The generalised assignment problem is the problem of finding the …

The generalized assignment problem examines the maximum profit assignment of jobs to
agents such that each job is assigned to precisely one agent subject to capacity restrictions …

Federated learning is a distributed machine learning approach to privacy preservation and
two major technical challenges prevent a wider application of federated learning. One is that …

Given n items and m knapsacks, the Generalized Assignment Problem (GAP) is to find the
optimum assignment of each item to exactly one knapsack, without exceeding the capacity …

The generalised assignment problem (GAP) is the problem of finding a minimum cost
assignment of a set of jobs to a set of agents. Each job is assigned to exactly one agent. The …

Enterprise-scale storage systems, which can contain hundreds of host computers and
storage devices and up to tens of thousands of disks and logical volumes, are difficult to …