Content Generation for Massively Multiplayer Online Games with Genetic Algorithms

被引：0

作者：

Alves, Tiago ^{[1
]}

Coelho, Jorge ^{[2
]}

Nogueira, Luis ^{[3
]}

机构：

[1] Blippt, Porto, Portugal

[2] LIACC, ISEP, Porto, Portugal

[3] INESC TEC, CISTER, ISEP, Porto, Portugal

来源：

APPLIED COMPUTATIONAL INTELLIGENCE AND MATHEMATICAL METHODS: COMPUTATIONAL METHODS IN SYSTEMS AND SOFTWARE 2017, VOL. 2 | 2018年 / 662卷

关键词：

D O I：

10.1007/978-3-319-67621-0_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：37 / 49

页数：13

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