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 ...

Abstract: The operation of flexible energy resources is frequently optimized by means of mixed-integer linear programs. Optimization models often use recurrent constraints to represent resource ...

Abstract: Agile satellites possess advanced Earth observation capabilities and highly flexible attitude maneuvering, rendering their scheduling problems increasingly crucial. As the number of such ...

Mathematically, an 'objective function' is used to quantitatively define how much each reaction contributes to the phenotype. Taken together, the mathematical representations of the metabolic ...

This project develops an investment portfolio strategy for a private investor with a conservative risk profile. The analysis combines portfolio optimization methods, Monte Carlo simulation, and ...