A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
This software, called a mixed-integer linear programming (MILP) solver, splits a massive optimization problem into smaller pieces and uses generic algorithms to try and find the best solution. However, the solver could take hours — or even days — to arrive at a solution.
To read more, https://news.mit.edu/2023/ai-accelerates-problem-solving-complex-scenarios-1205
