Reactive Search and Intelligent Optimization

by Robert Battiti, Franco Mascia, Mauro Brunato

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"