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 ...
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 ...
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 ...
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 December 2, 2019 Saikko successfully defended his doctoral thesis Implicit Hitting Set Algorithms for Constraint Optimization M.Sc. Paul Saikko succesfully defended his doctoral ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Researchers have developed a generative CAD system specifically for 3D printing. Generative CAD tools have been around for several years, and they are fun to use. They’re quite different from normal ...
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