Mauro Birattari's Books

Tuning Metaheuristics

A Machine Learning Perspective

By: Mauro Birattari

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Tuning Metaheuristics

A Machine Learning Perspective

By: Mauro Birattari

This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.

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Page Count

226

Publisher

Springer

Published Date

ISBN 10

3642004830

ISBN 13

9783642004834

Reactive Search and Intelligent Optimization

By: Roberto Battiti,Mauro Brunato,Franco Mascia

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Reactive Search and Intelligent Optimization

By: Roberto Battiti,Mauro Brunato,Franco Mascia

Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics. Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities for the automated tuning of these parameters.

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Page Count

198

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387096248

ISBN 13

9780387096247

Tuning Metaheuristics

A Machine Learning Perspective

By: Mauro Birattari

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Tuning Metaheuristics

A Machine Learning Perspective

By: Mauro Birattari

Average ratings

N/A

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Solve jigsaw puzzle

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Page Count

226

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642004822

ISBN 13

9783642004827

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings

By: Thomas Stützle,Mauro Birattari,Holger H. Hoos

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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings

By: Thomas Stützle,Mauro Birattari,Holger H. Hoos

Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search, and variable neighborhood search. Historically, the development of e?ective SLS algorithms has been guided to a large extent by experience and intuition. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e?cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci?c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti?cial intelligence, and statistics.

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Page Count

165

Publisher

Springer

Published Date

ISBN 10

3642037518

ISBN 13

9783642037511

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings

By: Thomas Stützle,Mauro Birattari,Holger H. Hoos

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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings

By: Thomas Stützle,Mauro Birattari,Holger H. Hoos

This volume constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms. Inside the volume, readers will find twelve full papers as well as nine short papers. Topics include methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures, AI/OR techniques, and dynamic behavior.

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Page Count

230

Publisher

Springer

Published Date

ISBN 10

3540744452

ISBN 13

9783540744450

Book's by Mauro Birattari

Tuning Metaheuristics

Tuning Metaheuristics

Reactive Search and Intelligent Optimization

Reactive Search and Intelligent Optimization

Tuning Metaheuristics

Tuning Metaheuristics

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

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