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How to Solve It: Modern Heuristics
 
 
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How to Solve It: Modern Heuristics [Hardcover]

Zbigniew Michalewicz (Author)
5.0 out of 5 stars  See all reviews (8 customer reviews)

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There is a newer edition of this item:
How to Solve It: Modern Heuristics How to Solve It: Modern Heuristics 5.0 out of 5 stars (8)
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Review

The March 2002 issue of ACMs Computing Reviews identifies a review of "How to Solve It" as the best review they published in 2001. The review is then reprinted in its entirety. Reviewer: H. van Dyke Parunak.
Excerpt: Like its predecessor, the new How to Solve It, combines deep mathematical insight with skilled pedagogy. Puzzle lovers will seek out the book for its insightful discussion of many intriguing brain twisters. Students of computational methods will find it an accessible but rigorous introduction to evolutionary algorithms. Teachers will learn from its expositions how to make their own subject matter clearer to their students. Polya would be honored to know that his spirit lives on in the computer age.

From the reviews of the second edition:

"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)

Book Description

...covers classic method of optimization, including dynamic programming, the simplex method, and gradient technique as" well as recent innovations such as simulated annealing, tabu search, and evolutionary computation.
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First Sentence
This is not a book about algorithms. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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8 Reviews
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5.0 out of 5 stars (8 customer reviews)
 
 
 
 
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1 of 1 people found the following review helpful
5.0 out of 5 stars Makes spinach taste good, Nov 15 2001
By 
Venugapal Vasudevan (Palatine, IL USA) - See all my reviews
(REAL NAME)   
This review is from: How to Solve It: Modern Heuristics (Hardcover)
I am a computer scientist, but have gotten impatient over the years with the needless formalization that occurs in algorithmic texts. This is a delightful breath of fresh air in terms of balancing erudition with attempts to be "user friendly". If you want the latest and greatest twist to a well known technique, this book won't provide it. But it does a great job of competently and lucidly explaining the value proposition behind each optimization method and how to gradually upgrade from applying it naively to the more intricately optimized applications. Well done!
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5.0 out of 5 stars Fine-tuning to common sense, Aug 15 2003
By 
Gamal Seedahmed (Richland, WA United States) - See all my reviews
This review is from: How to Solve It: Modern Heuristics (Hardcover)
Beside the great ideas provided in this book for problem solving, it provides a deep wisdom of for piecing some of the puzzles of our life. I recommend it.
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5.0 out of 5 stars Useful overview of methods, Oct 31 2002
By 
Shlomo Yona (Israel) - See all my reviews
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This review is from: How to Solve It: Modern Heuristics (Hardcover)
I first ordered this book thinking it was George Polya 's book "How to solve it", then I realized it wasn't and I bought it anyway since I thought it might turn out as a "must read" book, just like Polys'a book.

One one hand it was a dissapointment, because the books are not written in the same manner and don't attact similar problelsm.

But then, this book makes you look into problems, and realize that usually we people are usually good in solving problems of the sort we learned how to (well... duh!), but surprisingly, we have a hard time solving even trivial problems if they are not placed in the context we got used to seeing them.

This book comes and tries to make things better in this department, showing you some general methods for solving problems, and also showing problems and suggested solutions along with a long discussion.

You should be able, once you've read the book and put your mind to it, to be better in understanding problems, understanding which tool to use for solving them and finally, understanding the tools enough to be able to actually solve the problem.

I enjoyed the overview of methods, and there are many such methods throughout the book (perhaps a complementary book for learning which "machine learning" methods are available these days and what sorts of problems they are useful for solving would be Tom Mitchell's "Machine Learning" book).

I wasn't sorry for buying this book. I'm happy I was fortunate enough to bump into it.

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