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OverviewSolve 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. Full Product DetailsAuthor: Alaa KhamisPublisher: Manning Publications Imprint: Manning Publications Dimensions: Width: 19.00cm , Height: 2.00cm , Length: 23.00cm Weight: 0.965kg ISBN: 9781633438835ISBN 10: 163343883 Pages: 536 Publication Date: 26 August 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsThis 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 Author InformationAbout 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. Tab Content 6Author Website:Countries AvailableAll regions |