GP-Robocode: Using Genetic Programming to Evolve Robocode Players

GP-Robocode: Using Genetic Programming to Evolve Robocode Players
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GP-Robocode:使用遗传编程来进化 Robocode 玩家

DOI:
10.1007/978-3-540-31989-4_13
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发表时间:
2005
期刊:
2008 IEEE Symposium On Computational Intelligence and Games
影响因子:
--
通讯作者:
M. Sipper
M. Sipper
中科院分区:
--
文献类型:
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作者:
Yehonatan Shichel;Eran Ziserman;M. Sipper

文献摘要

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本文介绍了第一次尝试引入进化设计的球员到国际Robocode联赛,一个基于模拟的游戏,其中机器人坦克在一个封闭的竞技场战斗到毁灭。使用遗传编程为这个高度活跃的论坛进化坦克策略,我们能够在HaikuBots类别的27名玩家中排名第三。我们的GPBOT是唯一一个不是人类写的条目。
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.