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

On Monday the 2nd of December 2019, M.Sc. Paul Saikko will defend his doctoral thesis on Implicit Hitting Set Algorithms for Constraint Optimization. The thesis is a part of research done in the ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

Abstract: In this paper, we address the problem of incrementally optimizing constraint networks for maximum likelihood map learning. Our approach allows a robot to efficiently compute configurations ...

Abstract: In this paper, we consider the predefined-time distributed optimization problem of second-order multi-agent systems under undirected and connected communication networks, in which, the ...

Constrained optimisation problems are familiar to first-year economics students from the use of indifference curves to solve consumer choice and cost minimisation problems. But the most commonly used ...