段清娟, 王润孝. 机器人学中应用的人工免疫原理、模型与展望[J]. 机器人, 2005, 27(5): 475-480.
引用本文: 段清娟, 王润孝. 机器人学中应用的人工免疫原理、模型与展望[J]. 机器人, 2005, 27(5): 475-480.
DUAN Qing-juan, WANG Run-xiao. Artificial Immunity Principle,Model Used in Robotics and Their Prospect[J]. ROBOT, 2005, 27(5): 475-480.
Citation: DUAN Qing-juan, WANG Run-xiao. Artificial Immunity Principle,Model Used in Robotics and Their Prospect[J]. ROBOT, 2005, 27(5): 475-480.

机器人学中应用的人工免疫原理、模型与展望

Artificial Immunity Principle,Model Used in Robotics and Their Prospect

  • 摘要: 给出人工免疫与机器人学的四个结合模型:负选择、克隆选择、进化免疫、免疫网络.介绍其生物机理,归纳和评述了主要算法及在机器人中的应用成果.与其它进化算法做了比较,并展望了进一步的研究方向.

     

    Abstract: Artificial immunity is a method to solve problems inspired by the immune system of living beings,and robotics is one of its main application areas.This paper presents four main models of artificial immunity,i.e.,negative selection,clonal selection,evolutionary immunity and immune network,and summarises its biological mechanism,main algorithm and application to robotics.These algorithms are compared with other evolution algorithms,and the prospect of artificial immune system used in robotics is given.

     

/

返回文章
返回