Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

Abstract. A multiobjective optimization problem (MOP) with inequality and equality constraints is considered where the objective and inequality constraint functions are locally Lipschitz and equality ...

David V. Lindberg, Herbert K.H. Lee, Optimization Under Constraints by Applying an Asymmetric Entropy Measure, Journal of Computational and Graphical Statistics, Vol. 24, No. 2 (JUNE 2015), pp.

Using FlexQAOA, we successfully encoded the problem's complex structure directly into a quantum circuit, enabling constraint-aware optimization that respects real-world feasibility.

We focus on a particular generic framework for solving constraint optimization problems, the so-called implicit hitting set (IHS) approach. The approach is based on a theory of duality between ...

The paper Synthesizing Argumentation Frameworks from Examples co-authored by Andreas Niskanen and Matti Järvisalo of the Constraint Reasoning and Optimization group together with Johannes P. Wallner ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

The researchers also considered an extension of the STSP that includes time windows for simultaneous pickups and deliveries, creating a more realistic and challenging problem. The core method involves ...