期刊文献+

游戏编程中的寻路算法研究 被引量:5

Algorithm of Seeking the Path in Game Programming
下载PDF
导出
摘要 探讨了游戏开发中的一些寻路算法,提出了如何在游戏中使用遗传算法实现路径探索的基本思路,分析了遗传算法实现寻路的优点及其存在的问题。 A few algorithm of seeking the path have been discussed in game developing, and it proposes how to realize the fundamental thought of the exploration by using genetic algorithm in game programming ,then it analyzes how to realize the merit and finds out the existing problem in genetic algorithm.
出处 《湖南工业大学学报》 2007年第4期84-87,共4页 Journal of Hunan University of Technology
关键词 电子游戏 人工智能 遗传算法 lectronic games artificial intelligence genetic algorithm
  • 相关文献

参考文献3

二级参考文献9

  • 1庄越挺,吴飞.人工智能游戏编程真言[M].北京:清华大学出版社,2005.90-133.
  • 2Roth U,Walker M,Hilmann A,et al.Dynamic path planning with spiking neural networks[C].Spain:IWANN,1997.1355-1363.
  • 3Stentz A.Optimal and efficient path planning for partiallyknown environments[C].San Diego:Proceedings of the IEEE International conference on Robotics and Automation,1994.3310-3317.
  • 4J Moody. Prediction Risk and Architecture Selection for Neural Networks[C].In:V Cherkassky,J Friedman,H Wechsler eds. From Statistics to Neural Networks:Thoery and Pattern Recognition Application,NATO ASI Series F,New York:Springer-Verlag, 1994:136,147-165.
  • 5S E Fahlman, C Lebiere.The Cascade-Correlation Learning Architecture[C].In:D S Tourezky ed.Advances in Neural Information Processing Systerm,San Mateo,CA:Morgan Kaufmann,1990-2002:524-532.
  • 6B Hassibi, D Stork,G Wolff. Optional Brain Surgeon and General Network Pruning[C].In:IEEE International Conference on Neural Networks,1993:293-299.
  • 7飞思科技产品研发中心.MatLab6.5辅助神经网络分析与设计[M].电子工业出版社,2004..
  • 8StuartRussell PeterNorvig.Artificial Intelligence:A Modern Approach[M].人民邮电出版社,2002年4月..
  • 9袁曾任,高明.在动态环境中移动机器人导航和避碰的一种新方法[J].机器人,2000,22(2):81-88. 被引量:58

共引文献86

同被引文献37

引证文献5

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部