运筹学学报 ›› 2015, Vol. 19 ›› Issue (3): 96-107.doi: 10.15960/j.cnki.issn.1007-6093.2015.03.012

• 运筹学 • 上一篇    下一篇

解线性等式约束优化问题的模式搜索过滤集方法

陈宁1, 孙文瑜1,*, 袁锦昀2   

  1. 1.  南京师范大学数学科学学院,江苏省大规模复杂系统数值模拟重点实验室,南京, 210023; 2. 巴西巴拉那联邦大学数学系, 巴西巴拉那州库里提巴, 81531--990
  • 收稿日期:2015-05-20 出版日期:2015-09-15 发布日期:2015-09-15

 A pattern search filter method for linearly equality-constrained optimization problems

CHEN Ning1, SUN Wenyu1,*, YUAN Jinyun2   

  1. 1. School of Mathematical Sciences, Jiangsu Key Laboratory for NSLSCS, Nanjing Normal University, Nanjing 210023, China; 2. Department of Mathematics, The Federal University of Parana (UFPR), CEP 81531-990, Curitiba, Parana, Brazil
  • Received:2015-05-20 Online:2015-09-15 Published:2015-09-15
  • Contact: 孙文瑜 wysun@njnu.edu.cn

摘要:

提出一个解线性等式约束无导数优化的模式搜索过滤集算法,该算法将过滤集技术嵌入无导数优化算法中以改善算法的效率. 建立了新算法的总体收敛性, 初步的数值试验结果表明新算法是有效的.

关键词:  无导数优化, 模式搜索算法, 过滤集技术, 约束优化, 总体收敛性

Abstract:

In this paper a pattern search filter algorithm for linearly equality-constrained derivative-free optimization is proposed. In this work we embed a filter technique in a derivative-free optimization algorithm which improves the efficiency of algorithms. The global convergence of new algorithm is established. Initial numerical results show that the new algorithm is efficient.

Key words: derivative-free optimization, pattern searchalgorithm, filter technique, constrained optimization, globalconvergence