期刊文献+

一个新的求解非线性方程组的遗传算法

A New Genetic Algorithm for Nonlinear Equations Set
在线阅读 下载PDF
导出
摘要 设计了一种新的遗传算法求解非线性方程组.该算法采用精英选择策略,能一次求出非线性方程组的所有解.数值实验结果表明,该算法具有较高的求解速度和精度,与其它传统方法比较,具有一定的优越性. A new genetic algorithm was designed for nonlinear equations set. The algorithm can find all result based on elitist selection strategy. Test shows the algorithm has certain superiority over other tradition methods.
出处 《韩山师范学院学报》 2008年第3期18-21,共4页 Journal of Hanshan Normal University
基金 韩山师范学院2007年重点科研课题.
关键词 遗传算法 优化 方程组 最优解 惩罚 genetic algorithm optimization equations set optimal solution punish
  • 相关文献

参考文献6

二级参考文献16

  • 1Alfonso Farina,Flavio A.Studer,ALENIA S.p.A..Detection with High Resolution Radar: Advanced Topics & Potential Applications[J].Journal of Systems Engineering and Electronics,1992,3(1):21-34. 被引量:2
  • 2邢文训 谢金星.最优化计算方法[M].北京:清华大学出版社,1999..
  • 3(德)[G,泽贝尔]Gunter Seeber著;赖锡安等译.卫星大地测量学[M].北京:地震出版社,1998..
  • 4Holland J H.Adaptation in Natural and Artificial Systems[M].MIT Press.1975.
  • 5Goldberg D E,Smith R E.Nonstationary function optimization using genetic algorithms with dominance and diploidy[J].In Genetic Algorithms and Their Applications:Proceedings of the Second International Conference on Genetic Algorithms,1987.59—68.
  • 6吕凤翥.C++语言基础教程[M].北京:清华大学出版社,2000.201-205.
  • 7蔡大用 白峰杉.现代科学计算[M].北京:清华大学出版社,2001..
  • 8Kennedy J,Eberhart R.Particle swarm optimization[A].Proceedings of IEEE International Conference on Neural Networks(ICNN'95)[C].Perth,WA,Australia,1995,1942~1948.
  • 9Eberhart R,Kennedy J.A new optimizer using particle swarm theory[A].Proceedings of Sixth International Symposium on Micro Machine and Human Science[C].Nagoya,Japan:Nagoya Municipal Industrial Research Institute,1995,39~43.
  • 10Shi Yu-hui,Eberhart R.Parameter selection in particle swarm optimization[A].Proceedings of 7th Annual Conference on Evolutionary Programming[C].March 1998,591~601.

共引文献105

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