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一个修正的并行变量分配算法

An improved parallel variable distribution algorithm
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摘要 针对2002年C.A.Sagastizabal和M.V.Solodov提出的并行变量分配算法进行修正.通过引入一个线性规划,在每个迭代点处求解一个线性规划和二次规划,来替代原文中的二次规划子问题,避免了原算法的二次规划子问题可能不相容的情形.再者,通过一个非单调技术替代原文中的罚函数执行线性搜索过程,具有更大的灵活性. The parallel variable distribution(PVD) algorithm proposed by C.A. Sagastizabal and M. V. Solodov in 2002 was modified. Here we introduce a linear programming, so at each itera- tion we need to solve a linear programming and a quadratic programming rather than the original quadratic programming subproblem, in this case the difficulties associated with the possible in- consistency of subproblem in the original method could be avoided. Moreover, we introduce a nonmonotone technique instead of the penalty function to carry out the line search procedure with more flexible.
出处 《山东理工大学学报(自然科学版)》 CAS 2011年第2期17-20,共4页 Journal of Shandong University of Technology:Natural Science Edition
基金 国家自然科学基金资助项目(10971122) 山东省自然科学基金资助项目(Y2008A01)
关键词 并行最优化 序列二次规划 约束最优化 并行变量分配算法 非单调技术 parallel optimization sequential quadratic programming constrained optimization parallel variable distribution algorithm nonmonotone technique
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参考文献7

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  • 2Solodov M V.New inexact parallel variable distribution algorithms[J].Computational Optimization and Applications,1997,7:165-182.
  • 3Solodov M V.On the convergence of constrained parallel variable distribution algorithms[J].SIAM J.Optim,1998,8:187-196.
  • 4Sagastizabal C A,Solodov M V.Parallel variable distribution for constrained optimization[J].Computational Optimization and Applications,2002,22:111-131.
  • 5Grippo L,Lampariello F,Lucidi S.A nonmonotone line search technique for Newton's method[J].SIAM J.Numer.Anal,1986,23:707-716.
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