MIT researchers developed a computational approach that can be used to solve problems with hundreds of variables. In tests on realistic engineering challenges, the approach found top solutions 10 to 100 times faster than methods such as Bayesian optimization.
Many engineering challenges come down to the same headache too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be co… [+6663 chars]
