This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Abstract: This paper considers a Multi-Agent Motion Planning (MAMP) problem that seeks collision-free paths for multiple agents from their respective start to goal locations among static obstacles, ...

Abstract: Automated manufacturing systems integrate sequential processing machines with material handling robots to transport jobs between stages, enhancing productivity and efficiency. Such systems ...

A friendly, story-driven mixed-integer linear program (MILP) modeled in Pyomo. You’ll choose which malts to include (binary on/off with activation fees) and how much of each (continuous) to hit target ...

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...

Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. In a new paper, authors ...