This book explores the meta-heuristics approach called tabu search, which is dramatically changing our ability to solve a host of problems that stretch over the realms of resource planning, telecommunications, VLSI design, financial analysis, scheduling, space planning, energy distribution, molecular engineering, logistics, pattern classification, flexible manufacturing, waste management, mineral exploration, biomedical analysis, environmental conservation and scores of other problems. The major ideas of tabu search are presented with examples that show their relevance to multiple applications. Numerous illustrations and diagrams are used to clarify principles that deserve emphasis, and that have not always been well understood or applied. The book's goal is to provide `hands-on' knowledge and insight alike, rather than to focus exclusively either on computational recipes or on abstract themes. This book is designed to be useful and accessible to researchers and practitioners in management science, industrial engineering, economics, and computer science. It can appropriately be used as a textbook in a masters course or in a doctoral seminar. Because of its emphasis on presenting ideas through illustrations and diagrams, and on identifying associated practical applications, it can also be used as a supplementary text in upper division undergraduate courses. Finally, there are many more applications of tabu search than can possibly be covered in a single book, and new ones are emerging every day. The book's goal is to provide a grounding in the essential ideas of tabu search that will allow readers to create successful applications of their own. Along with the essential ideas, understanding of advanced issues is provided, enabling researchers to go beyond today's developments and create the methods of tomorrow.
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Most Helpful Customer Reviews
8 of 10 people found the following review helpful:
4.0 out of 5 stars
Great book but too expensive,
This review is from: Tabu Search (Hardcover)
It's good to read the book that the writer and inventor of theory are the same person. Glover and Laguna conduct this book in a self-comprehensive book. I've never found any good resource of Tabu Search as great as this book. Only drawback is the price... too expensive for student. I only read it in the library though. I'm glad to know they have the paperback edition but I'm not sure about the quality of printing. Lastly, get it whenver you can afford it!. It's worth your money every characters.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Excellent Title,
By Gastón Pezzuchi (La Plata, Buenos Aires Argentina) - See all my reviews
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This review is from: Tabu Search (Paperback)
An absolute must for anyone interested in metaheuristics. It is well written and covers all the essential points. Even though it is true the field has evolved since its publications, this is a book I truly recommend.
2 of 4 people found the following review helpful:
3.0 out of 5 stars
Might be good for a reference...,
By A Customer
This review is from: Tabu Search (Hardcover)
Probably the most bloated book I've ever encountered. It seems like this isn't targeted for computer science students. It was completely impossible to read it without falling asleep, because the book could go on and on for pages without presenting anything new except that 1+1=2.The best source for learning about tabu search would be to read a basic book about (combinatorial) optimization just to teach the vocabulary (like an exact neighborhood etc.). After that, just head to springerlink and download a few articles from the Lectures in Computer Science-series or use some other source for papers relating to applications of tabu search to various optimization problems. This book is quite good for a reference though.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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mixed phase, pyramid principle, new romanticism, threshold based restructuring, branching inequalities, admissible hyperplanes, exclusionary side constraints, critical event memory, tabu classification, highest evaluation move, high influence move, low influence move, persistent attractiveness, logical restructuring, probabilistic tabu search, valid cutting plane, candidate list strategy, candidate list strategies, congenial structures, static swap, branching moves, branching pair, bounding form, full resolution level, guiding solutions Key Phrases - Capitalized Phrases (CAPs): (learn more)
Down Branch, Integer Programming, Special Topics, Additional Aspects, Longer Term Memory, Cut Search Theorem, Boltzmann Machine, Master List, Star-Path Generation Method, Neglected Strategies, Aspiration Plus, Optimal Focal Point Theorem, Tabu Cycle Method, Iteration Tabu-active, Principle of Congenial Structures, Adjacent Increase, Convexity Cut Theorem, Move Rank, Counter N-Cut, Principle of Persistent Attractiveness, Triple Branch, Feasible Convex Image Theorem, Proximate Optimality Principle, Strategic Oscillation, Persistent Voting Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
mixed phase, pyramid principle, new romanticism, threshold based restructuring, branching inequalities, admissible hyperplanes, exclusionary side constraints, critical event memory, tabu classification, highest evaluation move, high influence move, low influence move, persistent attractiveness, logical restructuring, probabilistic tabu search, valid cutting plane, candidate list strategy, candidate list strategies, congenial structures, static swap, branching moves, branching pair, bounding form, full resolution level, guiding solutions Key Phrases - Capitalized Phrases (CAPs): (learn more)
Down Branch, Integer Programming, Special Topics, Additional Aspects, Longer Term Memory, Cut Search Theorem, Boltzmann Machine, Master List, Star-Path Generation Method, Neglected Strategies, Aspiration Plus, Optimal Focal Point Theorem, Tabu Cycle Method, Iteration Tabu-active, Principle of Congenial Structures, Adjacent Increase, Convexity Cut Theorem, Move Rank, Counter N-Cut, Principle of Persistent Attractiveness, Triple Branch, Feasible Convex Image Theorem, Proximate Optimality Principle, Strategic Oscillation, Persistent Voting Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
100
books
cite this book:
See all 100 books citing this book
- Metaheuristics: Computer Decision-Making (Applied Optimization) by Mauricio G.C. Resende on 19 pages
- New Optimization Techniques in Engineering (Studies in Fuzziness and Soft Computing) by Godfrey C. Onwubolu on 12 pages
- Scatter Search: Methodology and Implementations in C (Operations Research/Computer Science Interfaces Series) by Manuel Laguna on 11 pages
- Metaheuristic Procedures for Training Neural Networks (Operations Research/Computer Science Interfaces Series) by Enrique Alba on 10 pages
- Multikriterielle Ablaufplanung (Produktion und Logistik) (German Edition) by Martin Josef Geiger on 8 pages
See all 100 books citing this book
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