Context. Imaging in radioastronomy is an ill-posed inverse problem. However, with
increasing sensitivity and capabilities of telescopes, several strategies have been …

Abstract Answer Set Programming (ASP) is an approach to declarative problem solving,
combining a rich yet simple modeling language with high performance solving capacities …

We propose a propositional logic based approach to solve MultiObjective Discrete
Optimization Problems (MODOPs). In our approach, there exists a one-to-one …

Imaging in radioastronomy is an ill-posed inverse problem. Particularly the Event Horizon
Telescope (EHT) Collaboration investigated the fidelity of their image reconstructions …

Solving a multi-objective constraint optimization problem (MO-COP) typically consists in
computing all Pareto optimal solutions, which are exponentially many in the general case …

For many decades, the field of optimization has progressed both in the way it represents real-
life problem and how it solves these problems. However, most of the focus have been …

Multi-Objective Distributed Constraint Optimization Problems (MO-DCOPs) can model
problems where agents must coordinate to optimize multiple costs. As problems can involve …

Multi-objective optimization plays a very important role in the real-world timetable
generation. Due to its exponential nature, traditional approaches rely on scalarization …

Solving a multi-objective constraint optimization problem (MO-COP) typically consists in
computing the set of all Pareto optimal solutions, which is exponentially large in the general …

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