These are exciting times for computing, where context aware reasoning and domain specific compiler optimizations could represent an entirely new level of computing.

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy ...

optimization linear-algebra sparse-systems linear-programming scientific-computing fast-fourier-transform computational-geometry differential-equations eigenvectors mersenne-twister eigenvalues ...

Linear Programming and Mixed-Integer Linear Programming Optimization with Python Mixed Integer Linear Programming extends LP to include cases where some or all of the decision variables are required ...

This paper describes a linear programming optimization model to minimize the cutting waste in production of steel frames for school tables in a carpentry workshop. School tables are assembled from ...

Lack of manpower is often cited as the most pressing barrier to the adoption of multiunit or refinery-wide optimization, as more and more workers retire out of industry and plants scramble to hire and ...

To meet all of those potentially conflicting optimization objectives, multiobjective optimization formulations can be used to derive optimal trade-off solutions. In this work, we present a framework ...

Mixed-integer linear programming (MILP) is often used for system analysis and optimization as it presents a flexible and powerful method for solving large, complex problems such as the case with ...