Search Methodology: Introductory Tutorials in Optimization And Decision Support Techniques - Brossura

Brossura

ISBN 10: 0387234608 ISBN 13: 9780387234601

Casa editrice: Springer Verlag, 2005

Riassunto

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.

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Recensione

From the reviews:

"This edited book is ... designed to provide introductions to topics in search methodology. ... The chapters are well-written, accurate and carefully presented and provide a good exposition of each of the topics. ... Although aimed at PhD students, and I would certainly recommend the book to them and to supervisors, this volume should prove very useful to a wider audience ... . It provides an excellent introduction to a large set of techniques in search methodology and is a pleasure to read." (JM Wilson, Journal of the Operational Research Society, Vol. 58 (3), 2007)

Contenuti

Foreword; Fred Glover

Preface

Chapter 1: Introduction; Edmund Burke and Graham Kendall

Chapter 2: Classical Techniques; Kathryn Dowsland

Chapter 3: Integer Programming; Bob Bosch and Michael Trick

Chapter 4: Genetic Algorithms; Kumara Sastry, David Goldberg, and Graham Kendall

Chapter 5: Genetic Programming; John Koza and Riccardo Poli

Chapter 6: Tabu Search; Michael Gendreau and Jean-Yves Potvin

Chapter 7: Simulated Annealing; Emile Aarts, Jan Korst and Wil Michiels

Chapter 8: Variable Neighborhood Search; Pierre Hansen and Nenad Mladenovic

Chapter 9: Constraint Programming; Eugene Freuder and Mark Wallace

Chapter 10: Multi-Objective Optimization; Kalyanmoy Deb

Chapter 11: Complexity Theory and The No Free Lunch Theorem; Darrell Whitley and Jean Paul Watson

Chapter 12:Machine Learning; Xin Yao and Yong Liu

Chapter 13: Artificial Immune Systems; Uwe Aickelin and Dipankar Dasgupta

Chapter 14: Swarm Intelligence; Daniel Merkle and Martin Middendorf

Chapter 15: Fuzzy Reasoning; Costas Pappis and Constantinos Siettos

Chapter 16: Rough Set Based Decision Support; Roman Slowinski, Salvatore Greco and Benedetto Matarazzo

Chapter 17: Hyper-heuristics; Peter Ross

Chapter 18:Approximation Algorithms; Carla Gomes and Ryan Williams

Chapter 19: Fitness Landscapes; Colin Reeves

Dettagli dell?edizione

• Editore: Springer Verlag
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0387234608
• ISBN 13: 9780387234601
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 636
• Redattore: Burke Edmund K., Kendall Graham
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania