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A branch-and-bound algorithm for the minimum radius k-enclosing ball problem

Marta Cavaleiro(marta.cavaleiro***at***rutgers.edu)
Farid Alizadeh(farid.alizadeh***at***rutgers.edu)

Abstract: The minimum $k$-enclosing ball problem seeks the ball with smallest radius that contains at least $k$ of $m$ given points in a general $n$-dimensional Euclidean space. 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. The nodes on the tree are ordered in a suitable way, which, complemented with a last-in-first-out search strategy, allows for only a small fraction of nodes to be explored. Additionally, an efficient dual algorithm to solve the subproblems at each node is employed.

Keywords: minimum covering ball, smallest enclosing ball, 1-center with outliers, branch-and-bound

Category 1: Integer Programming ((Mixed) Integer Nonlinear Programming )

Category 2: Combinatorial Optimization

Citation:

Download: [PDF]

Entry Submitted: 07/11/2017
Entry Accepted: 07/11/2017
Entry Last Modified: 07/11/2017

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