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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 ...
Wuhan Zhonghe Shili Automation Technology Co., Ltd. applied for a patent titled "An AI-Optimized Control Method and System for Water-Based Glue Coating" in August 2025, with publication number ...
In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...
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 ...
Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...
Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...
A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
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