Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

Abstract: For the nonintrusive load monitoring problem, we propose a new efficient mixed-integer linear programming model. Compared to other optimization-based models that are only capable of ...