Reactive Search and Intelligent Optimization

by Robert Battiti, Franco Mascia, Mauro Brunato

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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.

Format:Paperback

Language:English

ISBN:1441934995

ISBN13:9781441934994

Release Date:December 2010

Publisher:Springer

Length:196 Pages

Weight:0.66 lbs.

Dimensions:0.4" x 6.1" x 9.2"

Related Subjects

Business Business & Investing Computers Computers & Technology Economics Science Science & Math Science & Scientists Science & Technology

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