A Genetic Algorithm for Evolutionary Voting System

摘要：

Different from traditional fault tolerant systems (e.g. the voting system), Genetic Algorithms will be applied to the actual hardware systems, which ensures that the units found to be faulty could be improved and eventually reached full functionality through evolution. We design and implement a Genetic Algorithm by C++ language in Evolutionary Voting System. Experimental results show a Genetic Algorithm to be an effective strategy in some areas of engineering optimization.

关键词： Evolutionary Voting System Genetic Algorithm selection operators crossover mutation

作者: Wu Jun Xie Dan Zhao Zhen

作者单位: IT Department of HuBei College of Traditional Chinese Medicine

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）