An εà-approximation scheme for combinatorial optimization problems with minimum variance criterion

An εà-approximation scheme for combinatorial optimization problems with minimum variance criterion

0.00 Avg rating0 Votes
Article ID: iaor19921522
Country: Netherlands
Volume: 36
Issue: 2
Start Page Number: 131
End Page Number: 141
Publication Date: Jan 1992
Journal: Discrete Applied Mathematics
Authors:
Abstract:

Suppose that a finite set E, a family of feasible subsets of E and a real cost associated with each element in E are given. This paper considers the problem of finding a feasible subset such that the variance of the costs of elements in the subset is minimum among all feasible subsets. The case is considered in which the number of elements in a feasible subset is a constant, i.e., it does not depend on the choice of the subset. This paper first exhibits a parameteric characterization of an optimal solution of the above minimum variance problem. Based on this characterization, it is shown that if one can solve in polynomial time the problem of finding a feasible subset that minimizes the sum of costs in the subset, it is possible to construct a fully polynomial time approximation scheme for the above minimum variance problem.

Reviews

Required fields are marked *. Your email address will not be published.