Branch and Bound Algorithm Multiobjective Mixed Integer by Rocktäschel Stefan (9 results)

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 al…gorithm 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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Taschenbuch. Condition: Neu. A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization | Stefan Rocktäschel | Taschenbuch | BestMasters | viii | Englisch | 2020 | Springer VS | EAN 9783658291488 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-…17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 enhan…ces 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. 80 pp. Englisch.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First algorithm for solving multiobjective mixed-integer convex optimization problemsTheoretical basics for solving multiobjective mixed-integer convex optimization problems.- An algorithm for solving this class of op…timization problems.- Test instances.

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 80 pp. Englisch.