Motivation for Research: Large combinatorial optimization problems involve an exponentially growing decision space, where finding a good solution often becomes extremely difficult using traditional ...

CAMBRIDGE, MA — While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, the optimization problem of efficiently routing holiday ...

A group of scientists led by researchers from Austria’s Technical University of Leoben has developed a mixed-integer linear programming (MILP)-based multi-objective optimization (MOO) model for ...

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.