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How to Solve it: Modern Heuristics
 
 

How to Solve it: Modern Heuristics [Illustrated] (Hardcover)

by Z. Michalewicz (Author), David B. Fogel (Author) "This is not a book about algorithms ..." (more)
4.0 out of 5 stars See all reviews (1 customer review)

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Hardcover (2nd ed. Revised and Extended) £39.99 £37.99 37 used & new from £27.00

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Product details

  • Hardcover: 467 pages
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K; illustrated edition edition (Nov 1999)
  • Language English
  • ISBN-10: 3540660615
  • ISBN-13: 978-3540660613
  • Product Dimensions: 24.1 x 16.5 x 3 cm
  • Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 971,059 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

Product Description

Review
"This is an outstanding book. It takes the reader close to the current knowledge frontier ??? . The book??'s writing style is lively and educational, and this makes it extremely interesting ??? . is intended for students and practitioners. ??? is an excellent choice for a course on heuristics ??? . One of the most comprehensive views ??? is provided in this book. It is written to be read and understood ??? . is a must-read and must-have for anyone engaged in the art of problem solving." (Dimitrios Katsaros, Computing Reviews, April, 2005)

Product Description
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.

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This is not a book about algorithms. Read the first page
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12 of 13 people found the following review helpful:
4.0 out of 5 stars Wide, deep and good fun. Well worth reading., 19 Mar 2001
By A Customer
Although a text book, this book is fun. It is both a good review of evolutionary algorithms and an excellent introduction to problem solving.

Algorithms are not in general given in full and there is no source code, so you will still have to put some effort in if you have a real problem to solve. However this is one of the points of the book: real problems are complex, you can't just use a recipe.

Coverage of other search methods such as neural nets is not so extensive, but there is reasonable coverage of more traditional methods.

On top of all this, there are numerous problem solving problems. These are all good fun and need nothing more than paper and pen.

A good book for the train and for the library. And there arn't many of those.

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