AI Revolutionizes Complex Problem-Solving in Logistics and Beyond
Researchers from MIT and ETH Zurich have developed a machine learning-based technique to speed up the optimization process used by companies like FedEx for routing packages. This approach, which simplifies a key step in mixed-integer linear programming (MILP) solvers and tailors the process using a company’s own data, has resulted in a 30 to 70 percent increase in speed without sacrificing accuracy. It has potential applications in various industries facing complex resource-allocation problems.A new, data-driven approach…