Searched for: author%3A%22Theunissen%2C+E.%22
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Fransman, J.E. (author), Sijs, J. (author), Dol, H.S. (author), Theunissen, E. (author), de Schutter, B. (author)
In this work, the novel algorithm Bayesian Dynamic Programming Optimization Procedure (B-DPOP) is presented to solve multi-agent problems within the Distributed Constraint Optimization Problem framework. The Bayesian optimization framework is used to prove convergence to the global optimum of the B-DPOP algorithm for Lipschitz-continuous...
conference paper 2019
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Fransman, J.E. (author), Sijs, J. (author), Dol, H.S. (author), Theunissen, E. (author), de Schutter, B. (author)
In this paper, Mine Counter-Measures (MCM) operations with multiple cooperative Autonomous Underwater Vehicles (AUVs) are examined within the Distributed Constraint optimization Problem (DCOP) framework. The goal of an MCM-operation is to search for mines and mine-like objects within a predetermined area so that ships can pass the area through a...
conference paper 2019
document
Fransman, J. (author), Sijs, J. (author), Dol, H.S. (author), Theunissen, E. (author), de Schutter, B.D. (author)
DCOP (Distributed Constraint optimization Problem) is a framework for representing distributed multi- agent problems. However, it only allows discrete values for the decision variables, which limits its application for real-world problems. In this paper, an extension of DCOP is investigated to handle variables with continuous domains....
conference paper 2018