Flying elephants: a general method for solving non-differentiable problems.

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Title: Flying elephants: a general method for solving non-differentiable problems.
Authors: Xavier, Adilson1 adilson@cos.ufrj.br, Xavier, Vinicius1 vinicius@cos.ufrj.br
Source: Journal of Heuristics. Aug2016, Vol. 22 Issue 4, p649-664. 16p.
Subjects: Hyperbolic geometry, Distance geometry, Metric spaces, Metaheuristic algorithms, Heuristic
Abstract: Flying Elephants (FE) is a generalization and a new interpretation of the Hyperbolic Smoothing approach. The article introduces the fundamental smoothing procedures. It contains a general overview of successful applications of the approach for solving a select set of five important problems, namely: distance geometry, covering, clustering, Fermat-Weber and hub location. For each problem the original non-smooth formulation and the succedaneous completely differentiable one are presented. Computational experiments for all related problems obtained results that exhibited a high level of performance according to all criteria: consistency, robustness and efficiency. For each problem some results to illustrate the performance of FE are also presented. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Heuristics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Flying elephants: a general method for solving non-differentiable problems.
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  Data: <searchLink fieldCode="AR" term="%22Xavier%2C+Adilson%22">Xavier, Adilson</searchLink><relatesTo>1</relatesTo><i> adilson@cos.ufrj.br</i><br /><searchLink fieldCode="AR" term="%22Xavier%2C+Vinicius%22">Xavier, Vinicius</searchLink><relatesTo>1</relatesTo><i> vinicius@cos.ufrj.br</i>
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  Data: <searchLink fieldCode="DE" term="%22Hyperbolic+geometry%22">Hyperbolic geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+geometry%22">Distance geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Metric+spaces%22">Metric spaces</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic%22">Heuristic</searchLink>
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  Data: Flying Elephants (FE) is a generalization and a new interpretation of the Hyperbolic Smoothing approach. The article introduces the fundamental smoothing procedures. It contains a general overview of successful applications of the approach for solving a select set of five important problems, namely: distance geometry, covering, clustering, Fermat-Weber and hub location. For each problem the original non-smooth formulation and the succedaneous completely differentiable one are presented. Computational experiments for all related problems obtained results that exhibited a high level of performance according to all criteria: consistency, robustness and efficiency. For each problem some results to illustrate the performance of FE are also presented. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Heuristics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10732-014-9268-8
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        Text: English
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        Type: general
      – SubjectFull: Distance geometry
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      – SubjectFull: Metric spaces
        Type: general
      – SubjectFull: Metaheuristic algorithms
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      – SubjectFull: Heuristic
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      – TitleFull: Flying elephants: a general method for solving non-differentiable problems.
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              Text: Aug2016
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