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 ...

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 ...

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 ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

A major assumption in the analysis of (s, S) inventory systems with stochastic lead times is that orders are received in the same sequence as they are placed. Even under this assumption, much of the ...

The process, equipment, and technology for developing and manufacturing oral solid-dosage forms are well defined. Nonetheless, designing a drug product formulation that achieves the desired properties ...