Reactive Search and Intelligent Optimization

Author:   Roberto Battiti ,  Mauro Brunato ,  Franco Mascia
Publisher:   Springer-Verlag New York Inc.
Edition:   1st Edition. 2nd Printing. 2008
Volume:   45
ISBN:  

9780387096230


Pages:   196
Publication Date:   06 November 2008
Format:   Hardback
Availability:   In Print   Availability explained
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Reactive Search and Intelligent Optimization


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Overview

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 forthe automated tuning of these parameters.

Full Product Details

Author:   Roberto Battiti ,  Mauro Brunato ,  Franco Mascia
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st Edition. 2nd Printing. 2008
Volume:   45
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   1.040kg
ISBN:  

9780387096230


ISBN 10:   038709623
Pages:   196
Publication Date:   06 November 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction: Machine Learning for Intelligent Optimization.- Reacting on the neighborhood.- Reacting on the Annealing Schedule.- Reactive Prohibitions.- Reacting on the Objective Function.- Reacting on the Objective Function.- Supervised Learning.- Reinforcement Learning.- Algorithm Portfolios and Restart Strategies.- Racing.- Teams of Interacting Solvers.- Metrics, Landscapes and Features.- Open Problems.

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