Abstract
The minimum k-enclosing ball problem seeks the ball with smallest radius that contains at least k of m given points. This problem is NP-hard. We present a branch-and-bound algorithm on the tree of the subsets of k points to solve this problem. Our method is able to solve the problem exactly in a short amount of time for small and medium sized datasets.
Original language | English (US) |
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Pages (from-to) | 274-280 |
Number of pages | 7 |
Journal | Operations Research Letters |
Volume | 50 |
Issue number | 3 |
DOIs | |
State | Published - May 2022 |
All Science Journal Classification (ASJC) codes
- Software
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics
Keywords
- 1-center with outliers
- Branch-and-bound
- Minimum enclosing ball
- Smallest covering ball