Genetic Programming Method of Evolving the Robotic Soccer Player Strategies with Ant Intelligence

This paper presents the evolved soccer player strategies with ant-intelligence through genetic programming. To evolve the code for players we used the Evolutionary Computation tool (ECJ simulator-Evolutionary Compuation in Java). We tested the evolved player strategies with already existing teams in...

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Bibliographic Details
Main Authors: R. Geetha Ramani, R. Subramanian, P. Viswanath
Format: Article
Language:English
Published: SAGE Publishing 2009-06-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/6790
Description
Summary:This paper presents the evolved soccer player strategies with ant-intelligence through genetic programming. To evolve the code for players we used the Evolutionary Computation tool (ECJ simulator-Evolutionary Compuation in Java). We tested the evolved player strategies with already existing teams in soccerbots of teambots. This paper presents brief information regarding learning methods and ant behaviors. Experimental results depicts the performance of the evolved player strategies.
ISSN:1729-8814