Buch, Englisch, 209 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4557 g
Buch, Englisch, 209 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4557 g
Reihe: EURO Advanced Tutorials on Operational Research
ISBN: 978-3-319-28744-7
Verlag: Springer International Publishing
This book opens the door to multiobjective optimization for students in fields such as engineering, management, economics and applied mathematics. It offers a comprehensive introduction to multiobjective optimization, with a primary emphasis on multiobjective linear programming and multiobjective integer/mixed integer programming. A didactic book, it is mainly intended for undergraduate and graduate students, but can also be useful for researchers and practitioners. Further, it is accompanied by an interactive software package - developed by the authors for Windows platforms - which can be used for teaching and decision-making support purposes in multiobjective linear programming problems. Thus, besides the textbook’s coverage of the essential concepts, theory and methods, complemented with illustrative examples and exercises, the computational tool enables students to experiment and enhance their technical skills, as well as to capture the essential characteristics of real-world problems.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Mathematische Modellierung
- Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
Introduction.- Problem formulation and definitions.- Surrogate scalar functions and scalarization techniques.- Interactive methods in multiobjective linear programming.- A guided tour of the iMOLPe.- Multiobjective integer and mixed-integer linear programming.