A Guide to Graph Colouring : Algorithms and Applications

R. M. R. Lewis

ISBN 10: 3319257285 / ISBN 13: 9783319257280

Edité par Springer International Publishing, 2015

A propos de cet article

Zustand: Sehr gut | Seiten: 268 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 26180444/12

Détails bibliographiques

• Titre: A Guide to Graph Colouring : Algorithms and Applications
• Éditeur: Springer International Publishing
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3319257285
• ISBN à 13 chiffres: 9783319257280
• Reliure: Couverture rigide
• État de l'article: Sehr gut

A propos de ce titre

Synopsis

This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring arbitrary graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why.

 

The introductory chapters explain graph colouring, and bounds and constructive algorithms. The author then shows how advanced, modern techniques can be applied to classic real-world operational research problems such as seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by a website with an online suite of downloadable code.

 

The book will be of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.

À propos de l?auteur

Dr. Rhyd Lewis is a lecturer in operational research at Cardiff School of Mathematics, Cardiff University. Previously he was a lecturer in quantitative methods at Cardiff Business School. He holds a Ph.D. in Computer Science and Operational Research from Edinburgh Napier University. His research interests cover the analysis and application of metaheuristic algorithms, with particular focus on timetabling, graph colouring, and bin packing, vehicle routing, arc routing, and grouping/partitioning problems, and he has been a program committee member for the key related conferences, such as EvoCop, GECCO, MIC, and PATAT, and he is a cofounder and associate editor of the Intl. J. of Metaheuristics.