A learnheuristic approach for the team orienteering problem with aerial drone motion constraints
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
businesses from different industries. With the increasing number of people living in urban …
Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays
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 …
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 …
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 …
challenging operational problems. One of them is the integrated team task assignment and …