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GP-Robocode: Using Genetic Programming to Evolve Robocode Players

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3447))

Abstract

This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulation-based game wherein robotic tanks fight to destruction in a closed arena. Using genetic programming to evolve tank strategies for this highly active forum, we were able to rank third out of twenty-seven players in the category of HaikuBots. Our GPBot was the only entry not written by a human.

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References

  1. Koza, J.R., Keane, M.A., Streeter, M.J., Mydlowec, W., Yu, J., Lanza, G.: Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Kluwer Academic Publishers, Norwell (2003)

    MATH  Google Scholar 

  2. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  3. Eisenstein, J.: Evolving robocode tank fighters. Technical Report AIM-2003-023, AI Lab, Massachusetts Institute Of Technology (2003), http://citeseer.ist.psu.edu/647963.html

  4. Koza, J.R.: Evolution of subsumption using genetic programming. In: Varela, F.J., Bourgine, P. (eds.) Proceedings of the First European Conference on Artificial Life. Towards a Practice of Autonomous Systems, Paris, France, pp. 110–119. MIT Press, Cambridge (1992)

    Google Scholar 

  5. Montana, D.J.: Strongly typed genetic programming. Evolutionary Computation 3, 199–230 (1995)

    Article  Google Scholar 

  6. Koza, J.R.: Genetic Programming II: Automatic Discovery of Reusable Programs. MIT Press, Cambridge (1994)

    MATH  Google Scholar 

  7. Langdon, W.B.: Size fair and homologous tree genetic programming crossovers. Genetic Programming and Evolvable Machines 1, 95–119 (2000)

    Article  MATH  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Shichel, Y., Ziserman, E., Sipper, M. (2005). GP-Robocode: Using Genetic Programming to Evolve Robocode Players. In: Keijzer, M., Tettamanzi, A., Collet, P., van Hemert, J., Tomassini, M. (eds) Genetic Programming. EuroGP 2005. Lecture Notes in Computer Science, vol 3447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31989-4_13

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  • DOI: https://doi.org/10.1007/978-3-540-31989-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25436-2

  • Online ISBN: 978-3-540-31989-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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