The paper deals with the solution of the minimum-losses configuration problem of distribution networks including embedded generation by means of a mixed-integer linear programming (MILP) model. A ...

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A Recursive Regularized Solution to Geophysical Linear Ill-Posed Inverse Problems Abstract: Linear ill-posed models are widely encountered in various problems in geophysics and remote sensing.

Simple Linear Programming with CPLEX IBM ILOG CPLEX Optimizer is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems. The CPLEX Python API is a ...

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...