Stochastic Local Search : Foundations & Applications By Holger H. Hoos, Thomas Stutzle
2004 | 658 Pages | ISBN: 1558608729 | PDF | 9 MB
"The book and companion web page are well written, easy to read and suited for students, scholars, researchers and practitioners alike. We see SLS:FA as an important step towards an improved understanding of SLS methods and their behavior, and we expect that this book will inspire future researchers and spark new lines of work in this area."
- Ruben Ruiz and Marco Pranzo, European Journal of Operational Research Article in Press
"Hoos and Stützle, two major players in the field, provide us with an excellent overview of stochastic local search. If you are looking for a book that covers all the major metaheuristics, gives you insight into their working, and guides you in their application to a wide set of combinatorial optimization problems, this is the book. "
- Marco Dorigo, Université Libre de Bruxelles
"Stochastic Local Search: Foundations and Applications provides an original and synthetic presentation of a large class of algorithms more commonly known as metaheuristics. Over the last 20 years, these methods have become extremely popular, often representing the only practical approach for tackling so many of the hard combinatorial problems that are encountered in real-life applications. Hoos and Stützle's treatment of the topic is comprehensive and covers a variety of techniques, including simulated annealing, tabu search, genetic algorithms and ant colony optimization, but a main feature of the book is its proposal of a most welcome unifying framework for describing and analyzing the various methods."
- Michel Gendreau, Université de Montréal
"Local search algorithms are often the most practical approach to solving constraint satisfaction and optimization problems that admit no fast deterministic solution. This book is full of information and insights that would be invaluable for both researchers and practitioners."
- Henry Kautz, University of Washington
2004 | 658 Pages | ISBN: 1558608729 | PDF | 9 MB
"The book and companion web page are well written, easy to read and suited for students, scholars, researchers and practitioners alike. We see SLS:FA as an important step towards an improved understanding of SLS methods and their behavior, and we expect that this book will inspire future researchers and spark new lines of work in this area."
- Ruben Ruiz and Marco Pranzo, European Journal of Operational Research Article in Press
"Hoos and Stützle, two major players in the field, provide us with an excellent overview of stochastic local search. If you are looking for a book that covers all the major metaheuristics, gives you insight into their working, and guides you in their application to a wide set of combinatorial optimization problems, this is the book. "
- Marco Dorigo, Université Libre de Bruxelles
"Stochastic Local Search: Foundations and Applications provides an original and synthetic presentation of a large class of algorithms more commonly known as metaheuristics. Over the last 20 years, these methods have become extremely popular, often representing the only practical approach for tackling so many of the hard combinatorial problems that are encountered in real-life applications. Hoos and Stützle's treatment of the topic is comprehensive and covers a variety of techniques, including simulated annealing, tabu search, genetic algorithms and ant colony optimization, but a main feature of the book is its proposal of a most welcome unifying framework for describing and analyzing the various methods."
- Michel Gendreau, Université de Montréal
"Local search algorithms are often the most practical approach to solving constraint satisfaction and optimization problems that admit no fast deterministic solution. This book is full of information and insights that would be invaluable for both researchers and practitioners."
- Henry Kautz, University of Washington
Code:
http://turbobit.net/sltvknoipti9.html
http://rapidgator.net/file/88764150/Stochastic_Local_Search__Foundations__Applications.rar.html
http://ul.to/x813azeu/Stochastic_Local_Search__Foundations__Applications.rar