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Practical Python AI Projects

Mathematical Models of Optimization Problems with Google OR-Tools

  • Serge┬áKruk

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Serge Kruk
    Pages 1-18
  3. Serge Kruk
    Pages 19-61
  4. Serge Kruk
    Pages 63-88
  5. Serge Kruk
    Pages 89-124
  6. Serge Kruk
    Pages 125-160
  7. Serge Kruk
    Pages 161-189
  8. Serge Kruk
    Pages 191-269
  9. Back Matter
    Pages 271-279

About this book

Introduction

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,
and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.

Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.

You will:
  • Build basic Python-based artificial intelligence (AI) applications 
  • Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite
  • Create several types of projects using Python and Google OR-Tools

Keywords

Python AI artificial intelligence math Google optimization tools projects case studies examples code source practical game OR-Tools

Authors and affiliations

  • Serge┬áKruk
    • 1
  1. 1.MathematicsOakland University MathematicsRochesterUSA

Bibliographic information