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 ...
Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In ...
This is a preview. Log in through your library . Abstract Abstract. A multiobjective optimization problem (MOP) with inequality and equality constraints is considered where the objective and ...
Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...
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 ...
We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...
Finnish Information Processing Association has awarded the annual award for the best PhD thesis in computer science award to Andreas Niskanen of the Constraint Reasoning and Optimization Group.