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A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex OptimizationTest instances and numerical results

A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization: Test instances... [We have implemented Algorithm 7 in MATLAB for p = 2. All tests have been run on an Intel(R) Core (TM) i7-6700K CPU @ 4.00GHz with 32GB RAM (2x DDR4-2399/16GB) on the operating system Microsoft Windows 10 Pro version 10.0.17134 in MATLAB R2018a. In the following we introduce the test instances we designed.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex OptimizationTest instances and numerical results

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Publisher
Springer Fachmedien Wiesbaden
Copyright
© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
ISBN
978-3-658-29148-8
Pages
51 –59
DOI
10.1007/978-3-658-29149-5_5
Publisher site
See Chapter on Publisher Site

Abstract

[We have implemented Algorithm 7 in MATLAB for p = 2. All tests have been run on an Intel(R) Core (TM) i7-6700K CPU @ 4.00GHz with 32GB RAM (2x DDR4-2399/16GB) on the operating system Microsoft Windows 10 Pro version 10.0.17134 in MATLAB R2018a. In the following we introduce the test instances we designed.]

Published: Jan 22, 2020

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