Ever since the times of Henry Ford up to today's industry 4.0 era, flow-oriented assembly
processes, where an assembly line conveys the workpieces from workstation to workstation …

The inventory-routing problem (IRP) dates back 30 years. It can be described as the
combination of vehicle-routing and inventory management problems, in which a supplier …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

Classical optimization algorithms are insufficient in large scale combinatorial problems and
in nonlinear problems. Hence, metaheuristic optimization algorithms have been proposed …

In this work we propose a hybrid algorithm for a class of Vehicle Routing Problems with
homogeneous fleet. A sequence of Set Partitioning (SP) models, with columns …

During the past decade, a number of new computational intelligence (CI) algorithms have
been proposed. Unfortunately, they spread in a number of unrelated publishing directions …

Energy-aware scheduling (EAS) of manufacturing processes demands a mathematical
model to optimally plan energy saving for a given schedule. The proposed approach starts …

Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

Inventory-routing problems (IRPs) arise in vendor-managed inventory systems. They require
jointly solving a vehicle routing problem and an inventory management problem. Whereas …

This paper reviews the existing literature on the combination of metaheuristics with machine
learning methods and then introduces the concept of learnheuristics, a novel type of hybrid …