Abstract
Procedural content generation can be defined as the algorithmical creation of game content with limited or indirect user input. In this paper we present a procedural content generation genetic algorithm for massively multiplayer online games. The incremental generation of content by choosing the most appropriate selection of added blocks allows an efficient progress in the game with a small impact on performance and the consequent ability to deploy such type of game in low performance mobile devices.
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References
Alves, T., Coelho, J.: A framework for massively multiplayer online game content generation. In: 30th IEEE International Conference on Advanced Information Networking and Applications, AINA 2016. IEEE Computer Society (2016)
Chopard, B., Droz, M.: Cellular Automata Modeling of Physical Systems. Cambridge University Press, Cambridge (1998)
Davidsson, P.: Multi agent based simulation: beyond social simulation. In: Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers, MABS 2000, London, UK, pp. 97–107. Springer-Verlag (2001)
Daybreak. What is h1z1. World Wide Web (2015). https://www.h1z1.com/what-is-h1z1
Duncan, S.C.: Minecraft, beyond construction and survival. Well Played 1(1), 1–22 (2011)
EIGENLENK. Pioneers. World Wide Web (2013). http://www.pioneersgame.com/
Red Blob Games. Hexagonal grids. World Wide Web (2013). http://www.redblobgames.com/grids/hexagons/
Hendrikx, M., Meijer, S., Van Der Velden, J., Iosup, A.: Procedural content generation for games: a survey. ACM Trans. Multimedia Comput. Commun. Appl. 9(1), 1:1–1:22 (2013)
Klei Entertainment Inc. Don’t starve. World Wide Web (2013). http://www.dontstarvegame.com/
Jilesen, J., Kuo, J., Lien, F.-S.: Three-dimensional midpoint displacement algorithm for the generation of fractal porous media. Comput. Geosci. 46, 164–173 (2012)
Meier, S.: Civilization v. World Wide Web (2010). http://playrust.com/
Mozilla. Websockets. World Wide Web (2015). https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API/
Perlin, K.: An image synthesizer. SIGGRAPH Comput. Graph. 19(3), 287–296 (1985)
Shaker, N., Togelius, J., Nelson, M.J.: Procedural Content Generation in Games: A Textbook and an Overview of Current Research. Springer (2015)
Sliva, M.: Don’t starve review. IGN Entertainment, Inc., May 2013
Srinivas, M., Patnaik, L.M.: Genetic algorithms: a survey. Computer 27(6), 17–26 (1994)
Facepunch Studios. Rust. World Wide Web (2013). http://playrust.com/
Acknowledgments
This work was partially supported by LIACC through Programa de Financiamento Plurianual of FCT (Portuguese Foundation for Science and Technology).
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Alves, T., Coelho, J., Nogueira, L. (2018). Content Generation for Massively Multiplayer Online Games with Genetic Algorithms. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_4
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DOI: https://doi.org/10.1007/978-3-319-67621-0_4
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