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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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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