Optimization Algorithms (Manning)
Monday, 21 October 2024

This book introduces AI algorithms designed to solve complex and poorly-structured problems such as "What’s the fastest route from one place to another?" "How do you calculate the optimal price for a product?" and "How should you plant crops, allocate resources, and schedule surgeries?" 

<ASIN:163343883X>

Dr. Alaa Khamis uses case studies to introduce a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods without complex mathematical notation.

Author: Dr. Alaa Khamis
Publisher: Manning
Date: September 2024
Pages: 536
ISBN: 978-1633438835
Print: 163343883X
Kindle: B0DCG7MN9P
Audience: General
Level: Intermediate
Category: Artificial Intelligence

optalg

Topics include:

  • The core concepts of search and optimization
  • Deterministic and stochastic optimization techniques
  • Graph search algorithms
  • Trajectory-based optimization algorithms
  • Evolutionary computing algorithms
  • Swarm intelligence algorithms
  • Machine learning methods for search and optimization problems
  • Efficient trade-offs between search space exploration and exploitation
  • State-of-the-art Python libraries for search and optimization

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Functional Design (Addison-Wesley)

Author: Robert C. Martin
Publisher: Addison-Wesley
Date: September 2023
Pages: 384
ISBN: 978-0138176396
Print: 0138176396
Kindle: B0CGHQKGYG
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]



Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.


More Reviews