Journal article
Bacteria swarm foraging optimization for dynamical resource allocation in a multizone temperature experimentation platform
MA Muñoz, JA López, E Caicedo
Advances in Soft Computing | SPRINGER-VERLAG BERLIN | Published : 2007
Abstract
In this work, an algorithm based on the Bacteria Swarm Foraging Optimization 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 the bacteria based algorithm in this application allows the search the best actuators 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. © 2007 Springer-Verlag Berlin Heidelberg.
Grants
Awarded by graduate research scholarship
Funding Acknowledgements
We thank Professor Kevin Passino for inspiring this work and his graduate students Nicanor Quijano, Jorge Finke, and Alvaro Gil for their 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, and a graduate research scholarship awarded to Mario A. Munoz, through grant No. 11061117707.