Practical python AI projects: Mathematical models of optimization problems with google OR-tools

12Citations
Citations of this article
56Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Kruk, S. (2018). Practical python AI projects: Mathematical models of optimization problems with google OR-tools. Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools (pp. 1–279). Apress Media LLC. https://doi.org/10.1007/978-1-4842-3423-5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free