New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems

Optimization problems are everywhere in engineering: Balancing design tradeoffs is an optimization problem, as are scheduling and logistical planning. The theory—and sometimes the implementation—of control systems relies heavily on optimization, and so does machine learning, which has been the basis of most recent advances in artificial intelligence.