Ant Colony Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform

In this work, an algorithm based on the Ant System was used for the dynamical resource allocation in a multiple input/output experimentation platform. This platform, which mimics a temperature grid plant, is composed of multiple sensors and actuators organized in zones. The use of ants in this application allows the search the best actuator in each sample time. This allowed us to obtain a uniform temperature over the platform. Good behavior of the implemented algorithm in the experimentation platform was observed.