Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization

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Stefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances.
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Stefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances.
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  • Formats: pdf
  • ISBN: 9783658291495
  • Publication Date: 21 Jan 2020
  • Publisher: Springer Fachmedien Wiesbaden
  • Product language: English
  • Drm Setting: DRM