Buch, Englisch, 620 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 937 g
Introductory Tutorials in Optimization and Decision Support Techniques
Buch, Englisch, 620 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 937 g
ISBN: 978-1-4419-3628-8
Verlag: Springer US
This book is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It provides a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
Classical Techniques.- Integer Programming.- Genetic Algorithms.- Genetic Programming.- Tabu Search.- Simulated Annealing.- Variable Neighborhood Search.- Constraint Programming.- Multi-Objective Optimization.- Complexity Theory and the No Free Lunch Theorem.- Machine Learning.- Artificial Immune Systems.- Swarm Intelligence.- Fuzzy Reasoning.- Rough Set Based Decision Support.- Hyper-Heuristics.- Approximation Algorithms.- Fitness Landscapes.
