Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

This transition moves inventory planning away from static safety stock rules toward more flexible policy structures that ...

Abstract: Multi-microgrid systems (MMSs) can pave the way for the development of microgrids (MGs) in distribution networks (DNs), contributing to renewable energy exploitation and carbon footprint ...

HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver that leverages application's ...

Website: RSOME for Python PyPI: RSOME 1.3.1 RSOME (Robust Stochastic Optimization Made Easy) is an open-source Python package for generic modeling of optimization problems (subject to uncertainty).

Without resorting to dynamic programming, we determine the decumulation strategy for the holder of a defined contribution pension plan. We formulate this as a constrained stochastic optimal control ...

The U.S. military experienced logistics challenges with land-locked Afghanistan, but one of the last times it faced actively contested logistics was with the German submarine wolfpacks in World War II ...

A two-layer multi-time scale stochastic production simulation framework is constructed to account for the long-term contract electricity quantity of ultra-high voltage direct current (UHVDC) ...

Abstract: There is no doubt that portfolio selection problems play an important role in finance, which recommend valuable choices among various investment strategies. In our study, we consider the ...