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

Author

Munoz, Mario A. ; López, Jesus A. ; Caicedo, Eduardo

Author_Institution

Escuela de Ingenieria Electrica y Electronica, Univ. del Valle, Cali

Volume

1

fYear

2006

fDate

Sept. 2006

Firstpage

137

Lastpage

142

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

Keywords

MIMO systems; optimisation; resource allocation; search problems; temperature control; ant colony optimization; ant system; dynamical resource allocation; multiple actuator; multiple input/output experimentation platform; multiple sensor; multizone temperature experimentation platform; search problem; temperature grid plant; Actuators; Ant colony optimization; Chemicals; Insects; Multiagent systems; Resource management; Routing; South America; Temperature sensors; Traveling salesman problems;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2006

Conference_Location

Cuernavaca

Print_ISBN

0-7695-2569-5

Type

conf

DOI

10.1109/CERMA.2006.18

Filename

4019727