The purpose of this paper is to explore the applications of quantum computing to energy
systems optimization problems and discuss some of the challenges faced by quantum …

The Vehicle Routing Problem (VRP) is a well-known research line in the optimization
research community. Its different basic variants have been widely explored in the literature …

In this paper, a modified version of Dwarf Mongoose Optimization Algorithm (DMO) for
feature selection is proposed. DMO is a novel technique of the swarm intelligence …

This paper addresses a variant of the vehicle routing problem in which customers require
simultaneous pickup and delivery of goods during specific individual time windows …

We present a general framework for solving a real-world multimodal home-healthcare
scheduling (MHS) problem from a major Austrian home-healthcare provider. The goal of …

Abstract In the Dial-a-Ride-Problem (DARP) a fleet of vehicles provides shared-ride services
to users specifying their origin, destination, and preferred arrival time. Typically, the problem …

Simulated Annealing (SA) is one of the oldest metaheuristics and has been adapted to solve
many combinatorial optimization problems. Over the years, many authors have proposed …

Collection of waste is an important logistic activity within any city. In this paper we study how
to collect waste in an efficient way. We study the Waste Collection Vehicle Routing Problem …

4.1▪ Introduction In recent years, several sophisticated mathematical programming
decomposition algorithms have been put forward for the solution of the VRP. Yet, despite …

This paper contributes to the intersection of operations research and machine learning in the
context of autonomous ridesharing. In this work, autonomous ridesharing operations are …