descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2021Publisher:American Institute of Mathematical Sciences (AIMS)Journal:Journal of Industrial & Management Optimization, volume 17, page 3,633 (issn: 1547-5816, eissn: 1553-166X,

Authors: Jiang, Yi; Cai, Yuan;

doi: 10.3934/jimo.2020136

A reformulation-linearization based algorithm for the smallest enclosing circle problem

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Abstract

<p style='text-indent:20px;'>In this paper, an effective algorithm based on the reformulation-linearization technique (RLT) is developed to solve the smallest enclosing circle problem. Extensive computational experiments demonstrate that the algorithm based on the RLT outperforms the existing algorithms in terms of the solution time and quality in average.</p>

Keywords

smallest enclosing circle, Nonlinear programming, second order cone programming, linear programming

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Fields of Science (4) View all

natural sciences

computer and information sciences

Fields of Science

natural sciences

computer and information sciences

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