Skip to content

Latest commit

 

History

History
58 lines (44 loc) · 3.72 KB

File metadata and controls

58 lines (44 loc) · 3.72 KB

Optimization Algorithms: AI techniques for design, planning, and control problems

This book is written for practitioners interested in solving ill-structured search and optimization problems using modern derivative-free algorithms. It will get you up to speed with the core concepts of search and optimization and endow you with the ability to handle practical design, planning and control problems.

Without assuming any prior knowledge of search and optimization, and with only an intermediate knowledge of data structures and Python, this book is designed to take anyone from never having solved search and optimization problems to being a well-rounded practitioner. You will be able to select, implement, and adapt the right solver for the right problem.

Table of Contents

Optimization Algorithms: AI techniques for design, planning, and control problems

Note

If you dowbloaded the code bundle from the Manning website, please consider checking out the official code repository on GitHub at: https://github.com/Optimization-Algorithms-Book/Code-Listings for the most recent version.

Errata

You can find errata for the book here.

Citation

Plain text (IEEE style):

Alaa Khamis. Optimization Algorithms: AI techniques for design, planning, and control problems. Manning Publications, ISBN 978-1633438835, 2024.

BibTeX:

@book{Khamis2024,
  title = {Optimization Algorithms: AI techniques for design, planning, and control problems},
  author  = {Alaa Khamis},
  year  = {2024},
  isbn  = {ISBN 978-1633438835},
  publisher = {Manning Publications}
}