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 ...

Jeroslow and Lowe gave an exact geometric characterization of subsets of ℝ𝑛 that are projections of mixed-integer linear sets, also known as MILP-representable or MILP-R sets. We give an alternate ...

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 ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Formulations of mathematical programs often require that some of the decision variables take only integer values. Consider the formulation You can follow the same steps to identify binary variables.