Real‐world problems are becoming highly complex and therefore have to be solved with
combinatorial optimization (CO) techniques. Motivated by the strong increase in publications …

Drone logistics delivery is a potential booster to redefine the logistics system efficiency,
which has been a new special hot research field. Among that, how to optimize drone …

The importance of the nurse rostering problem in complex healthcare environments should
not be understated. The nurses in a hospital should be assigned to the most appropriate …

The vehicle routing problem (VRP) is a combinatorial optimization problem that determines
optimal routes to enhance distribution efficiency. One of the most popular strategies in freight …

We study a generalization of the Skill VRP that incorporates time windows aspects,
precedence and synchronization constraints. Specifically, we are given a logistic network …

In this paper, an improved sequence-based selection hyper-heuristic method for the Air
Liquide inventory routing problem, the subject of the ROADEF/EURO 2016 challenge, is …

There are significant research opportunities in the integration of Machine Learning (ML)
methods and Combinatorial Optimization Problems (COPs). In this work, we focus on …

With the increasing concern on carbon emission, climate change, and human well-being,
governments worldwide are exploring ways to encourage the usage of sustainable modes of …

Proceedings of the Genetic and Evolutionary Computation Conference Companion: Selection
hyper-heuristics Page 1 GECCO 2022 Tutorial Selection Hyper-heuristics Permission to make …

This work tackles a rich vehicle routing problem (VRP) problem integrating a capacitated
vehicle routing problem with time windows (CVRPTW), and a service technician routing and …