With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power ...
Abstract: The aim of the paper presented herein is to propose a new mixed integer formulation and an efficient metaheuristic for the Biobjective Cumulative Capacitated Vehicle Routing Problem that ...
Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...