Summary
The design of engineering systems – from chemical plants to molecular design – must be as effective as possible within limits imposed by costs, resources, physical laws, and safety rules. To find the best solution, engineers use computer programs called optimization solvers. Solvers rely on complex algorithms that need careful tuning by experts to perform well. This project will create a framework to better understand how these solvers work, focusing on how they rule out poor solutions and move toward the best one. By analyzing large amounts of data generated by the solvers and applying mach
