Druck auf Anfrage Neuware - Printed after ordering - Stefan Rockt�schel 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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Bibliographic Details

Title: A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization
Publisher: Springer Fachmedien Wiesbaden
Publication Date: 2020
Language: English
ISBN 10: 3658291486
ISBN 13: 9783658291488
Binding: Taschenbuch
Condition: Neu

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Synopsis

Stefan Rockt�schel 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.

About the Author

Stefan Rockt�schel works as scientific assistant at the Institute for Mathematics of Technische Universit�t Ilmenau, Germany.

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