A learnheuristic approach for the team orienteering problem with aerial drone motion constraints

C Bayliss, AA Juan, CSM Currie, J Panadero - Applied Soft Computing, 2020 - Elsevier
This work proposes a learnheuristic approach (combination of heuristics with machine
learning) to solve an aerial-drone team orienteering problem. The goal is to maximise the …

Using Reinforcement Learning to Solve a Dynamic Orienteering Problem with Random Rewards Affected by the Battery Status

AA Juan, CA Marugan, Y Ahsini, R Fornes, J Panadero… - Batteries, 2023 - mdpi.com
This paper discusses an orienteering optimization problem where a vehicle using electric
batteries must travel from an origin depot to a destination depot while maximizing the total …

Machine learning based simulation optimisation for urban routing problems

C Bayliss - Applied Soft Computing, 2021 - Elsevier
Many real world routing problems, including those in tourism and surveillance, can be
formulated as team orienteering problems. The goal in such problems is to maximise the …

A biased-randomized iterated local search for the vehicle routing problem with optional backhauls

JC Londoño, RD Tordecilla, LC Martins, AA Juan - Top, 2021 - Springer
The vehicle routing problem with backhauls integrates decisions on product delivery with
decisions on the collection of returnable items. In this paper, we analyze a scenario in which …

The non-smooth and bi-objective team orienteering problem with soft constraints

A Estrada-Moreno, A Ferrer, AA Juan, J Panadero… - Mathematics, 2020 - mdpi.com
In the classical team orienteering problem (TOP), a fixed fleet of vehicles is employed, each
of them with a limited driving range. The manager has to decide about the subset of …

The stochastic team orienteering problem with position-dependent rewards

J Panadero, E Barrena, AA Juan, D Canca - Mathematics, 2022 - mdpi.com
In this paper, we analyze both the deterministic and stochastic versions of a team
orienteering problem (TOP) in which rewards from customers are dynamic. The typical goal …

Applications of biased-randomized algorithms and simheuristics in integrated logistics

L Do Carmo Martins - 2021 - openaccess.uoc.edu
Transportation and logistics (T&L) activities play a vital role in the development of many
businesses from different industries. With the increasing number of people living in urban …

Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays

EM Herrera, J Panadero, P Carracedo, AA Juan… - Mathematics, 2022 - mdpi.com
In the team orienteering problem, a fixed fleet of vehicles departs from an origin depot
towards a destination, and each vehicle has to visit nodes along its route in order to collect …

An agile simheuristic for the stochastic team task assignment and orienteering problem: applications to unmanned aerial vehicles

J Panadero, AA Juan, A Freixes… - 2020 Winter …, 2020 - ieeexplore.ieee.org
Efficient coordination of unmanned aerial vehicles (UAVs) requires the solving of
challenging operational problems. One of them is the integrated team task assignment and …

[PDF][PDF] AN AGILE SIMHEURISTIC FOR THE STOCHASTIC TEAM TASK ASSIGNMENT AND ORIENTEERING PROBLEM: APPLICATIONS TO UNMANNED AERIAL …

KH Bae, B Feng, S Kim, S Lazarova-Molnar, Z Zheng… - academia.edu
Efficient coordination of unmanned aerial vehicles (UAVs) requires the solving of
challenging operational problems. One of them is the integrated team task assignment and …