An Improved Genetic Algorithm and Its Application

摘要：

A simulated annealing genetic algorithm, which is employed to solve the optimization model of (N+M) fault tolerant systems, is put forward in this paper. The algorithm combines simulated annealing algorithm with genetic algorithm in constraints, choosing of crossover and mutation probability as well as mutation individual, to further improve its searching space, searching efficiency and convergence performance. Calculation result shows that the algorithm proposed in the paper is valid and correct.

关键词： (N+M) fault-tolerant system simulated annealing algorithm genetic algorithm optimization model

作者: Yang Lina Li Zhihui Liu Gang

作者单位: P.L.A Information Engineering University, Zhengzhou, Henan, 450004, China Henan University of Technology, Zhengzhou, Henan, 450001, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 556-558

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）