Genetic Programming Method of Evolving the Robotic Soccer Player Strategies with Ant Intelligence
| Autor: | R. Subramanian, P. Viswanath, R. Geetha Ramani |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Computer science
business.industry E CJ simulator lcsh:Electronics Genetic Programming Teambots lcsh:TK7800-8360 Genetic programming lcsh:QA75.5-76.95 Evolutionary computation Computer Science Applications Social Insect Behaviors Learning methods Artificial Intelligence Robotic Soccer Ant intelligence Code (cryptography) lcsh:Electronic computers. Computer science Artificial intelligence business Software |
| Zdroj: | Web of Science Scopus-Elsevier International Journal of Advanced Robotic Systems International Journal of Advanced Robotic Systems, Vol 6, Iss 2 (2009) International Journal of Advanced Robotic Systems, Vol 6 (2009) |
| ISSN: | 1729-8814 |
| DOI: | 10.5772/6790 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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