摘要
将部分穷举法与贪婪算法相结合,给出求解多背包约束下非减下模集函数最大值的近似算法.证明了该算法的性能保证是1–e–1,算法的时间复杂性为O(3n4).
A new approximation algorithm for maximum of a nondecreasing submodular set function subject to multi-constraint knapsack was given by combining partial exhaustive method with greedy algorithm. The performance guarantee of this algorithm is 1 - e^-1 and the time complexity of this algorithm is O(3n^4).
出处
《温州大学学报(自然科学版)》
2010年第1期6-10,共5页
Journal of Wenzhou University(Natural Science Edition)
关键词
下模集函数
贪婪算法
性能保证
背包约束
Submodular Set Function
Greedy Algorithm
Performance Guarantee
Knapsack Constraint