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A Guide to Graph Colouring
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Table of Contents

Introduction to Graph Colouring.- Bounds and Constructive Algorithms.- Advanced Techniques for Graph Colouring.- Algorithm Case Studies.- Applications and Extensions.- Designing Seating Plans.- Designing Sports Leagues.- Designing University Timetables.- App. A, Computing Resources.- References.- Index.

About the Author

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.

Reviews

"The book gives a comprehensive description and handling on arguably one of the most important notions of combinatorics-graph coloring. ... The book is nicely written, and carries a big pile of information valuable for both users and researchers in the field." (Andras Sandor Pluhar, Mathematical Reviews, February, 2017)"This well-written book will serve as a utilitarian guide to graph coloring and its practical applications. It includes many definitions, theorems, proofs, algorithms, and pointers for further reading. The book will be helpful for teaching courses on graph coloring to students of mathematics and computer science. I strongly recommend it for the intended audience." (S. V. Nagaraj, Computing Reviews, computingreviews.com, June, 2016)"The book is a comprehensive guide to graph colouring algorithms. ... The book is a nice textbook for both undergraduate and graduate students in the areas of operations research and theoretical computer science. ... Finally, it is a good source of knowledge for practitioners." (Marcin Anholcer, zbMATH 1330.05002, 2016)

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