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