Jonatas B. C. Chagas
Orcid: 0000-0001-7965-8419
According to our database1,
Jonatas B. C. Chagas
authored at least 15 papers
between 2016 and 2022.
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Bibliography
2022
Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach.
Optim. Lett., 2022
The double traveling salesman problem with partial last-in-first-out loading constraints.
Int. Trans. Oper. Res., 2022
Comput. Oper. Res., 2022
2021
A non-dominated sorting based customized random-key genetic algorithm for the bi-objective traveling thief problem.
J. Heuristics, 2021
2020
A variable neighborhood search heuristic algorithm for the double vehicle routing problem with multiple stacks.
Int. Trans. Oper. Res., 2020
2019
Proceedings of the Variable Neighborhood Search - 7th International Conference, 2019
2018
A Late Acceptance Hill-Climbing Heuristic Algorithm for the Double Vehicle Routing Problem with Multiple Stacks and Heterogeneous Demand.
Proceedings of the Intelligent Systems Design and Applications, 2018
A Variable Neighborhood Search Algorithm for the Long-term Preventive Maintenance Scheduling Problem.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proceedings of the Intelligent Systems Design and Applications, 2017
An Effective Heuristic Algorithm for the Double Vehicle Routing Problem with Multiple Stack and Heterogeneous Demand.
Proceedings of the Intelligent Systems Design and Applications, 2017
A Mixed-Integer Linear Programming Model and a Simulated Annealing Algorithm for the Long-Term Preventive Maintenance Scheduling Problem.
Proceedings of the Intelligent Systems Design and Applications, 2017
2016
Simulated annealing metaheuristic for the Double Vehicle Routing Problem with Multiple Stacks.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
A Branch-and-Price Algorithm for the Double Vehicle Routing Problem with Multiple Stacks and Heterogeneous Demand.
Proceedings of the Intelligent Systems Design and Applications, 2016