How to Solve It: Modern Heuristics

1. Front Matter

   Pages I-XVIII

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2. Introduction

   1. Introduction

      • Zbigniew Michalewicz, David B. Fogel

      Pages 1-7

3. What Are the Ages of My Three Sons?

   1. Front Matter

      Pages 9-10

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   2. Why Are Some Problems Difficult to Solve?

      • Zbigniew Michalewicz, David B. Fogel

      Pages 11-30

4. How Important Is a Model?

   1. Front Matter

      Pages 31-34

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   2. Basic Concepts

      • Zbigniew Michalewicz, David B. Fogel

      Pages 35-48

5. What Are the Prices in 7–11?

   1. Front Matter

      Pages 49-53

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   2. Traditional Methods — Part 1

      • Zbigniew Michalewicz, David B. Fogel

      Pages 55-81

6. What Are the Numbers?

   1. Front Matter

      Pages 83-86

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   2. Traditional Methods — Part 2

      • Zbigniew Michalewicz, David B. Fogel

      Pages 87-109

7. What’s the Color of the Bear?

   1. Front Matter

      Pages 111-114

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   2. Escaping Local Optima

      • Zbigniew Michalewicz, David B. Fogel

      Pages 115-134

8. How Good Is Your Intuition?

   1. Front Matter

      Pages 135-138

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   2. An Evolutionary Approach

      • Zbigniew Michalewicz, David B. Fogel

      Pages 139-155

9. One of These Things Is Not Like the Others

   1. Front Matter

      Pages 157-160

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   2. Designing Evolutionary Algorithms

      • Zbigniew Michalewicz, David B. Fogel

      Pages 161-184

10. What Is the Shortest Way?

    1. Front Matter

       Pages 185-188

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    2. The Traveling Salesman Problem

       • Zbigniew Michalewicz, David B. Fogel

       Pages 189-224

11. Who Owns the Zebra?

    1. Front Matter

       Pages 225-229

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    2. Constraint-Handling Techniques

       • Zbigniew Michalewicz, David B. Fogel

       Pages 231-270

No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

• Descriptive statistics
• Random variable
• Regression
• Variable
• algorithm
• algorithms
• evolutionary algorithm
• fuzzy
• fuzzy system
• linear regression
• model
• optimization
• programming
• statistics
• algorithm analysis and problem complexity
• quantitative finance
• complexity

• Department of Computer Science, University of North Carolina, Charlotte, USA

  Zbigniew Michalewicz

• Natural Selection, Inc., La Jolla, USA

  David B. Fogel

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