Document Type
Working Paper
Abstract
In a general class of discrete optimization problems with min-sum objective function, some of the elements may have random costs associated with them. In such a situation, the notion of optimality needs to be suitably modified. We define an optimal solution to be a feasible solution with the minimum risk. It is shown that the knowledge of the means of these random costs is enough to reduce such a problem into one with no random costs.
Publication Date
1-4-2000
Publisher
Indian Institute of Management Bangalore
Pagination
11p.
Recommended Citation
Ghosh, Diptesh and Das, Shubhabrata, "Solving discrete optimization problems when element costs are random" (2000). Working Papers. 163.
https://research.iimb.ac.in/work_papers/163
Relation
IIMB Working Paper-157