A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization (eBook, PDF)
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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. ContentsTheoretical basics for solving multiobjective mixed-integer convex optimization problemsAn algorithm for solving this class of optimization problemsTest instances and numerical resultsTarget...
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.
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 Rocktäschel works as scientific assistant at the Institute forMathematics of Technische Universität Ilmenau, Germany.
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