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

International Journal of Advanced Robotic Systems

关键词: Robotic Soccer;    Social Insect Behaviors;    Ant intelligence;    Learning methods;    Genetic Programming;    E CJ simulator;    Teambots;   

DOI  :  10.5772/6790

学科分类：自动化工程

来源: InTech

【 摘 要 】

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.

【 授权许可】

CC BY