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二次背包问题的秩二松驰

Rank two relaxation to the quadratic knapsack problem
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摘要 把对最大割问题进行秩二松驰的思想应用到二次背包问题上,得到二次背包问题的秩二松驰模型.应用罚函数法求得该模型的最优解,再利用扰动算法将该最优解转化成二次背包问题的解. The idea of rank two relaxation for max-cut problem is used to quadratic knapsack problem, and the model of the rank two relaxation for quadratic knapsack problem is obtained. The optimal solution to the relaxation is achieved by the penalty function method. Finally the optimal solution of the model is transformed into the solution of quadratic knapsack problem by the rounding algorithm.
出处 《西北师范大学学报(自然科学版)》 CAS 2004年第2期23-24,共2页 Journal of Northwest Normal University(Natural Science)
关键词 二次背包问题 秩二松驰 半定松驰 罚函数法 扰动算法 quadratic knapsack problem rank two relaxation semidefinite relaxation penalty function method rounding algorithm
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参考文献4

  • 1刘红卫,徐凤敏,刘三阳.二次背包问题的半定规划松弛[J].西安电子科技大学学报,2001,28(5):638-640. 被引量:4
  • 2Helmberg C, Readl F, Weismantel R. A semidefinite programming approach to the quadratic knapsack problem[J]. Journal of Combinatorial Optimization, 2000, 4(2): 197-215.
  • 3Burer S, Renato D C, Montciro, et al. Rank-two relaxation heuristics for max-cut and other binary quadratic programs. SIAM Journal on Optimization, 12(2): 503-521.
  • 4Goemans M X, Willamson D P. Improved approxim ation algorithms for maximum cut and satisfiability problems using sernidefinite programming[J]. Journal of ACM, 1995, 42: 1115-1145.

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