references.bib~

@ONLINE{NEAT4J,
title = {NEAT4J code {@ONLINE}},
month = apr,
year = {2013},
url = {http://neat4j.sourceforge.net/}
}

@ONLINE{tetris,
title = {tetris code {@ONLINE}},
month = apr,
year = {2009},
url = {http://code.google.com/p/tetris-ai/}
}

@inproceedings{hastings2009evolving,
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  author={Hastings, Erin J and Guha, Ratan K and Stanley, Kenneth O},
  booktitle={Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on},
  pages={241--248},
  year={2009},
  organization={IEEE}
}

@inproceedings{stanley:cig05,
title={Evolving Neural Network Agents in the NERO Video Game},
author={Kenneth O. Stanley and Bobby D. Bryant and Risto Miikkulainen},
booktitle={Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05)},
address={Piscataway, NJ},
publisher={IEEE},
url="http://nn.cs.utexas.edu/?stanley:cig05",
year={2005}
}


@PhdThesis{stanley:phd04,
title={Efficient Evolution of Neural Networks Through Complexification},
author={Kenneth O. Stanley},
school={Department of Computer Sciences, The University of Texas at Austin},
url="http://nn.cs.utexas.edu/?stanley:phd04",
year={2004}
}

@article{karakovskiy2012mario,
  title={The mario ai benchmark and competitions},
  author={Karakovskiy, Sergey and Togelius, Julian},
  journal={Computational Intelligence and AI in Games, IEEE Transactions on},
  volume={4},
  number={1},
  pages={55--67},
  year={2012},
  publisher={IEEE}
}

@ARTICLE{Angeline,
author={Angeline, P.J. and Saunders, G.M. and Pollack, J.B.},
journal={Neural Networks, IEEE Transactions on}, title={An evolutionary algorithm that constructs recurrent neural networks},
year={Jan},
volume={5},
number={1},
pages={54-65},
keywords={optimisation;recurrent neural nets;GNARL;evolutionary algorithm;evolutionary programming;genetic algorithms;population-based search methods;recurrent neural networks;Artificial intelligence;Ash;Computer architecture;Evolutionary computation;Genetic algorithms;Genetic programming;Induction generators;Network topology;Recurrent neural networks;Search methods},
doi={10.1109/72.265960},
ISSN={1045-9227},}

@Unpublished{gomez:proposal,
title={Solving Non-Markovian Control Tasks With Neuroevolution},
author={Faustino J. Gomez and Risto Miikkulainen},
pages={6},
note={Dissertation Proposal, Computer Science Department,  University of Texas at Austin},
url="http://nn.cs.utexas.edu/?gomez:ijcai99",
year={1999}
}

@InProceedings{moriarty:focus,
title={Evolving Neural Networks To Focus Minimax Search},
author={David E. Moriarty and Risto Miikkulainen},
booktitle={Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94)},
address={Seattle, WA},
publisher={Cambridge, MA: MIT Press},
key={AAAI},
pages={1371-1377},
url="http://nn.cs.utexas.edu/?moriarty:focus",
year={1994}
}

@INPROCEEDINGS{Revello,
author={Revello, T.E. and McCartney, R.},
booktitle={Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on}, title={Generating war game strategies using a genetic algorithm},
volume={2},
pages={1086-1091},
keywords={games of skill;genetic algorithms;military computing;uncertainty handling;evolutionary computation;experiment;genetic algorithm;military organizations;rules;uncertainty;war game strategy generation;Computer science;Decision making;Game theory;Genetic algorithms;History;Military computing;Problem-solving;State-space methods;Tiles;Uncertainty},
doi={10.1109/CEC.2002.1004394},}

@INPROCEEDINGS{PengHuo,
author={Peng Huo and Shiu, S. C K and Haibo Wang and Ben Niu},
booktitle={Natural Computation, 2009. ICNC '09. Fifth International Conference on}, title={Application and Comparison of Particle Swarm Optimization and Genetic Algorithm in Strategy Defense Game},
year={Aug.},
volume={5},
pages={387-392},
keywords={computer games;genetic algorithms;military systems;particle swarm optimisation;GA;PSO;convergence speed;damage value;execution time;genetic algorithm;optimum cannon placement;particle swarm optimization;real time strategy defense military game;tower defense game;Application software;Artificial intelligence;Computer applications;Computer industry;Convergence;Genetic algorithms;Military computing;Particle swarm optimization;Poles and towers;Testing;Particle swarm optimization;Strategy Defense Game;genetic algorithm},
doi={10.1109/ICNC.2009.552},}

@INPROCEEDINGS{Chih-Sheng,
author={Chih-Sheng Lin and Chuan-Kang Ting},
booktitle={Technologies and Applications of Artificial Intelligence (TAAI), 2011 International Conference on}, title={Emergent Tactical Formation Using Genetic Algorithm in Real-Time Strategy Games},
year={Nov.},
pages={325-330},
keywords={computer games;genetic algorithms;StarCraft testbed;emergent tactical formation;flat terrain environment;game AI;genetic algorithm;real time strategy games;unforeseen game situations;Artificial intelligence;Biological cells;Games;Genetic algorithms;Real time systems;Shape;Vectors;Genetic algorithm;real-time strategy games;tactical formation},
doi={10.1109/TAAI.2011.63},}

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