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A branch-and-bound algorithm for mul...
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Rocktaschel, Stefan.
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A branch-and-bound algorithm for multiobjective mixed-integer convex optimization
Record Type:
Electronic resources : Monograph/item
Title/Author:
A branch-and-bound algorithm for multiobjective mixed-integer convex optimization/ by Stefan Rocktaschel.
Author:
Rocktaschel, Stefan.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden : : 2020.,
Description:
viii, 70 p. :ill., digital ;24 cm.
[NT 15003449]:
Theoretical basics for solving multiobjective mixed-integer convex optimization problems -- An algorithm for solving this class of optimization problems -- Test instances and numerical results.
Contained By:
Springer eBooks
Subject:
Mathematical optimization. -
Online resource:
https://doi.org/10.1007/978-3-658-29149-5
ISBN:
9783658291495
A branch-and-bound algorithm for multiobjective mixed-integer convex optimization
Rocktaschel, Stefan.
A branch-and-bound algorithm for multiobjective mixed-integer convex optimization
[electronic resource] /by Stefan Rocktaschel. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - viii, 70 p. :ill., digital ;24 cm. - BestMasters,2625-3577. - BestMasters..
Theoretical basics for solving multiobjective mixed-integer convex optimization problems -- An algorithm for solving this class of optimization problems -- Test instances and numerical results.
Stefan Rocktaschel 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. Contents Theoretical basics for solving multiobjective mixed-integer convex optimization problems An algorithm for solving this class of optimization problems Test instances and numerical results Target Groups Students and Lecturers in the field of mathematics and economics Practitioners in the field of multiobjective mixed-integer convex optimization problems The Author Stefan Rocktaschel works as scientific assistant at the Institute for Mathematics of Technische Universitat Ilmenau, Germany.
ISBN: 9783658291495
Standard No.: 10.1007/978-3-658-29149-5doiSubjects--Topical Terms:
517763
Mathematical optimization.
LC Class. No.: QA402.5 / .R635 2020
Dewey Class. No.: 519.6
A branch-and-bound algorithm for multiobjective mixed-integer convex optimization
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Theoretical basics for solving multiobjective mixed-integer convex optimization problems -- An algorithm for solving this class of optimization problems -- Test instances and numerical results.
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Stefan Rocktaschel 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. Contents Theoretical basics for solving multiobjective mixed-integer convex optimization problems An algorithm for solving this class of optimization problems Test instances and numerical results Target Groups Students and Lecturers in the field of mathematics and economics Practitioners in the field of multiobjective mixed-integer convex optimization problems The Author Stefan Rocktaschel works as scientific assistant at the Institute for Mathematics of Technische Universitat Ilmenau, Germany.
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Mathematics and Statistics (Springer-11649)
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