Autonomous Search by Youssef (EDT) Hamadi - Bookswagon
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Autonomous Search

Autonomous Search


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About the Book

An Introduction to Autonomous Search.-Part I - Offline Configuration.-Evolutionary Algorithm Parameters and Methods to Tune Them.- Automated Algorithm Configuration and Parameter Tuning.- Case-Based Reasoning for Autonomous Constraint Solving.- Learning a Mixture of Search Heuristics.- Part II - Online Control.- An Investigation of Reinforcement Learning for Reactive Search Optimization.- Adaptive Operator Selection and Management in Evolutionary Algorithms.- Parameter Adaptation in Ant Colony Optimization.- Part III - New Directions and Applications.- Continuous Search in Constraint Programming.- Control-Based Clause Sharing in Parallel SAT Solving.- Learning Feature-Based Heuristic Functions.


About the Author:

Dr. Youssef Hamadi is the head of the Constraint Reasoning Group at Microsoft Research Cambridge, and his research interests include combinatorial optimization in alternative frameworks (parallel and distributed architectures); the application of machine learning to search; autonomous search; and parallel propositional satisfiability. Prof. Eric Monfroy is affiliated with both the Universidad Técnica Federico Santa María, Valparaíso, Chile and LINA, Université de Nantes, France; his research areas include heuristics, optimization, constraints, and search. Prof. Frédéric Saubion coheads the Metaheuristics, Optimization and Applications team at the Université d'Angers; his research topics include hybrid and adaptive evolutionary algorithms and applications of metaheuristics to various domains such as information retrieval, nonmonotonic reasoning and biology.


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Product Details
  • ISBN-13: 9783642214332
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Hardback
  • Edition: 2012
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Width: 156 mm
  • ISBN-10: 3642214339
  • Publisher Date: 05 Jan 2012
  • Depth: 19
  • Height: 234 mm
  • No of Pages: 308
  • Series Title: English
  • Weight: 680 gr


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