GAMS is good at finding decision variable values that provide the optimal solution to a problem for a given set of scenario parameters. It is more difficult to find a strategy that can test combinations of potentially many parameters in an efficient way to identify optimal scenarios.
Mathematical optimization can be applied in various industries. One recent example can be seen in the brewing industry. A team of researchers from the University of Hamburg has developed a system that supports the Feldschlösschen brewery in producing 220 finished products from 100 semifinished products.
Tips Examples GAMS Applications
A recent webinar by Evangelos Panos demonstrates how to tune CPLEX options to get more bang for your buck when running large problems such as the TIMES ESM framework.We congratulate the CEO of The Optimization Firm and developer of the BARON solver.
API Gams Engine Release News Examples
We are excited to present GAMS Engine SaaS, our new cloud based model scheduling system with fantastic scalability. This article gives an overview.