Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems
Author(s): Alaa Khamis (Author)
Publisher: Manning Publications
Publication Date: 26 Aug. 2024
Edition: 1st
Language: English
Print length: 536 pages
ISBN-10: 163343883X
ISBN-13: 9781633438835
Book Description
Solve design, planning, and control problems using modern machine learning and AI techniques.
In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:
Machine learning methods for search and optimization problems
The core concepts of search and optimization
Deterministic and stochastic optimization techniques
Graph search algorithms
Nature-inspired search and optimization algorithms
Efficient trade-offs between search space exploration and exploitation
State-of-the-art Python libraries for search and optimization
About the technology:
Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services.
Editorial Reviews
Review
This book is a superb introduction to advanced search and optimization techniques, with realistic examples and practical implementations in Python.Alain Couniot
It’s rare to find such a well structured book with a perfect balance between theory and practice – you end up with a fun and educational book that’s a pleasure to read.Onofrei George
Reading the book gave me a good overview of the insane amount of algorithms I didn’t even know existed.Kim Gabrielsen
I have not seen some of the graph algorithms inside this book explained as clearly before.Nick Vazquez
I truly enjoyed the depth, the broad spectrum of topics, the numerous practical examples, and the writing style.Simon Tschke
From the Back Cover
From the Back Cover:
Optimization Algorithms: AI techniques for design, planning, and control problems explores the AI algorithms that determine the most efficient routes, optimal designs, and solve other logistical issues. Dive into the exciting world of classical problems like the Travelling Salesman Problem and the Knapsack Problem, as well as cutting-edge modern implementations like graph search methods, metaheuristics and machine learning. Discover how to use these algorithms in real-world situations, with in-depth case studies on assembly line balancing, fitness planning, rideshare dispatching, routing and more. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm.
About the reader:
For AI practitioners familiar with the Python language.
About the Author
About the Author
Dr. Alaa Khamis is an AI and smart mobility technical leader at General Motors and a sessional lecturer at the University of Toronto. He is also an adjunct professor at Ontario Tech University and Nile University, affiliate member of the Center of Pattern Analysis and Machine Intelligence (CPAMI) at the University of Waterloo, and a former professor of artificial intelligence and robotics.
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