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Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)

Holger H. Hoos, Thomas Stützle




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 | #2699625 in Books |  Morgan Kaufmann |  2004-09-30 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.48 x1.33 x7.56l,3.23 | File type: PDF | 658 pages

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||0 of 0 people found the following review helpful.| Best reference for stochastic local search|By embarbosa|This is the single best book about stochastic local search. I tried other books before and no one has
the depth presented in this book. Excellent!|5 of 20 people found the following review helpful.| The First Complete Solution|By John Matlock|The Travelling Salesman P| ||“The book and companion web page are well written, easy to read and suited for students, scholars, researchers and practitioners alike. We see SLS:FA as an important step towards an improved understanding of SLS methods and their behavior, and we expect

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics.

Hoos and S...

You easily download any file type for your gadget.Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)   |  Holger H. Hoos, Thomas Stützle.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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