A Finite Branch-and-Bound Algorithm for Linear Multiplicative Programming

被引:0
|
作者
Takahito Kuno
机构
来源
Computational Optimization and Applications | 2001年 / 20卷
关键词
global optimization; nonconvex optimization; linear multiplicative programming; branch-and-bound algorithm; continuous knapsack problem;
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学科分类号
摘要
On the basis of Soland's rectangular branch-and-bound, we develop an algorithm for minimizing a product of p (≥2) affine functions over a polytope. To tighten the lower bound on the value of each subproblem, we install a second-stage bounding procedure, which requires O(p) additional time in each iteration but remarkably reduces the number of branching operations. Computational results indicate that the algorithm is practical if p is less than 15, both in finding an exact optimal solution and an approximate solution.
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页码:119 / 135
页数:16
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