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© 2004

How to Solve It: Modern Heuristics

Textbook

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Introduction

    1. Zbigniew Michalewicz, David B. Fogel
      Pages 1-7
  3. What Are the Ages of My Three Sons?

    1. Front Matter
      Pages 9-10
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 11-30
  4. How Important Is a Model?

    1. Front Matter
      Pages 31-34
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 35-48
  5. What Are the Prices in 7–11?

    1. Front Matter
      Pages 49-53
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 55-81
  6. What Are the Numbers?

    1. Front Matter
      Pages 83-86
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 87-109
  7. What’s the Color of the Bear?

    1. Front Matter
      Pages 111-114
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 115-134
  8. How Good Is Your Intuition?

    1. Front Matter
      Pages 135-138
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 139-155
  9. One of These Things Is Not Like the Others

    1. Front Matter
      Pages 157-160
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 161-184
  10. What Is the Shortest Way?

    1. Front Matter
      Pages 185-188
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 189-224
  11. Who Owns the Zebra?

    1. Front Matter
      Pages 225-229
    2. Zbigniew Michalewicz, David B. Fogel
      Pages 231-270

About this book

Introduction

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.

Keywords

Descriptive statistics Random variable Regression Variable algorithm algorithms evolutionary algorithm fuzzy fuzzy system linear regression model optimization programming statistics

Authors and affiliations

  1. 1.Department of Computer ScienceUniversity of North CarolinaCharlotteUSA
  2. 2.Natural Selection, Inc.La JollaUSA

Bibliographic information