A new approach to control a population of mobile robots using genetic programming

Authors:
Anderson Luiz;Fernandas Perez;Guilherme Bittencourt;Mauro Roisenberg
Affiliations:
Federal University of Santa Catarina-UFSC, SC, Brazil;Federal University of Santa Catarina-UFSC, SC, Brazil;Federal University of Santa Catarina-UFSC, SC, Brazil;Federal University of Santa Catarina-UFSC, SC, Brazil
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

This paper describes a new Evolutionary Control System (ECS) able to control a population of mobile robots. The system has two main modules: the first one, called EMSS (Execution, Management and Supervision System), is the system responsible for managing all the evolutionary process that takes place in an embedded fashion in each robot. The second module, called DGP (Distributed Genetic Programming), is an extension of classical Genetic Programming algorithm to support the control system evolution for the robots that are part of the mobile robots population. Simulation experiments of the DGP algorithm are presented and their results are compared with the classical GP algorithm.