期刊文献+

基于混沌扰动的改进布谷鸟算法 被引量:1

An improved cuckoo algorithm based on chaotic perturbation
下载PDF
导出
摘要 针对布谷鸟算法存在收敛速度不够快、求解精度不够高的问题,应用混沌扰动,给出基于混沌扰动的改进布谷鸟算法(CCS),使用3个基准测试函数对改进后的算法进行仿真实验,实验结果证明改进后的布谷鸟算法相对改进前的算法有较快的求解速度和较高的求解精度。 In this paper, an improved cuckoo algorithm based on chaotic perturbation is proposed, and the improved algorithm is simulated by using three benchmarks. The experimental results show that the algorithm is proved to be improved by using the chaotic perturbation, compared with the former, the improved cuckoo algorithm has a faster solution speed and higher accuracy of the solution.
作者 薛益鸽
出处 《智能计算机与应用》 2017年第2期47-49,共3页 Intelligent Computer and Applications
基金 浙江省教育厅科研项目资助(Y201636359)
关键词 布谷鸟算法 混沌扰动 求解精度 cuckoo algorithm chaotic perturbation solving accuracy
  • 相关文献

参考文献2

二级参考文献33

  • 1GOLDBERG D E. Genetic algorithm in search, optimization and machine learning [ M ]. Boston: Addison-Wesley Longman Publishing Co. Inc, 1989.
  • 2DORIGO M, BONABEAU E,THERAULAZ G. Ant algorithms and stigraergy [ J ]. Future Generation Computer Systems,2000, 16(8) :851-871.
  • 3KENNEDY J, EBERHART R. Particle swarm optimization [ C ]//Proc IEEE Int Conf. on Neural Networks, Australia: Perth, 1995 : 1 942-1 948.
  • 4YANG X S,DEB S. Cuckoo search via Levy flights [ C]//Proceedings of World Congress on Nature & Biologically Inspired Computing, India: IEEE Publications,2009:210-214.
  • 5YANG X S,DEB S. Engineering optimization by cuckoo search [J]. Int J Math Modeling & Num Optimization,2010(4) :330- 343.
  • 6Kennedy J, Eberhart RC. Particle swarm optimization. In: Proc. of the IEEE Int’l Conf. on Neural Networks. Piscataway: IEEE Inc., 1995. 1942-1948. [doi: 10.1109/ICNN. 1995.488968].
  • 7Eberhart RC, Kennedy J. A new optimizer using particle swarm theory. In: Proc. of the 6th Int’l Symp. on Micro Machine and Human Science. Piscataway: IEEE Inc., 1995. 39-43. [doi: 10.1109/MHS.1995.494215].
  • 8Dorigo M, Maniezzo V, Colomi A. The ant system: Optimization by a colony of cooperating agents. IEEE Trans, on Systems, Man, and Cybernetics, Part B, 1996,26(1):29-41. [doi: 10.1109/3477.484436].
  • 9Clerc M. Particle Swarm Optimization. Landon: Wiley-ISTE, 2006.
  • 10Karaboga D. An idea based on honey bee swarm for numerical optimization. Technical Report, TR-06, Computer Engineering Department, Engineering Faculty, Erciyes University, 2005.

共引文献146

同被引文献5

引证文献1

二级引证文献2

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