Puck, a subsidiary of Dexter Monroe LLC, the operational mandate is not merely to move goods, but to orchestrate a high-density swarm of automated land droids and aerial drones within the constrained, dynamic environment of Milwaukee’s Historic Third Ward. In this context, the discrete variables of the classical Transportation Problem break down. The sheer number of agents, the continuous nature of the airspace, the fluid dynamics of wind and battery consumption, and the complex, time-varying constraints of regulatory "line of sight" (VLOS) create a system that behaves less like a graph and more like a fluid.

This report proposes a paradigm shift in the optimization logic for Puck. We reject the static, object-oriented minimization techniques associated with the Bobyleff-Forsyth formula—a l ...