Conference Proceedings
Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform
MA Muñoz, JA López, E Caicedo
Proceedings Electronics Robotics and Automotive Mechanics Conference Cerma 2006 | IEEE COMPUTER SOC | Published : 2006
Abstract
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 to 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. © 2006 IEEE.
Grants
Funding Acknowledgements
We thank Professor Kevin Passino for inspiring this work and his graduate students Nicanor Quijano, Jorge Finke, and Alvaro Gil for valuable discussions. Part of this work has been supported by Colciencias and Universidad del Valle through a graduate research fellowship awarded to Jesus A. Lopez.