{"product_id":"optimization-algorithms-ai-techniques-for-design-planning-and-control-problems-9781633438835","title":"Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems","description":"\u003cp\u003e • Author(s): Alaa Khamis\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSolve design, planning, and control problems using modern AI techniques.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eOptimization problems are everywhere in daily life. What's the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? \u003ci\u003eOptimization Algorithms\u003c\/i\u003e introduces the AI algorithms that can solve these complex and poorly-structured problems. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eOptimization Algorithms: AI techniques for design, planning, and control problems\u003c\/i\u003e you will learn: \u003cp\u003e\u003c\/p\u003e- The core concepts of search and optimization\u003cbr\u003e - Deterministic and stochastic optimization techniques\u003cbr\u003e - Graph search algorithms\u003cbr\u003e - Trajectory-based optimization algorithms\u003cbr\u003e - Evolutionary computing algorithms\u003cbr\u003e - Swarm intelligence algorithms\u003cbr\u003e - Machine learning methods for search and optimization problems\u003cbr\u003e - Efficient trade-offs between search space exploration and exploitation\u003cbr\u003e - State-of-the-art Python libraries for search and optimization \u003cp\u003e\u003c\/p\u003e Inside this comprehensive guide, you'll find a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods. Don't worry--there's no complex mathematical notation. You'll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm. \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Every time you call for a rideshare, order food delivery, book a flight, or schedule a hospital appointment, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eOptimization Algorithms\u003c\/i\u003e explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- Graph search algorithms\u003cbr\u003e - Metaheuristic algorithms\u003cbr\u003e - Machine learning methods\u003cbr\u003e - State-of-the-art Python libraries for optimization\u003cbr\u003e - Efficient trade-offs between search space exploration and exploitation \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Requires intermediate Python and machine learning skills. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Dr. \u003cb\u003eAlaa Khamis\u003c\/b\u003e is an AI and smart mobility technical leader at General Motors and a lecturer at the University of Toronto. \u003cp\u003e\u003c\/p\u003eThe technical editor on this book was \u003cb\u003eFrances Buontempo\u003c\/b\u003e. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e PART 1\u003cbr\u003e 1 Introduction to search and optimization\u003cbr\u003e 2 A deeper look at search and optimization\u003cbr\u003e 3 Blind search algorithms\u003cbr\u003e 4 Informed search algorithms\u003cbr\u003e PART 2\u003cbr\u003e 5 Simulated annealing\u003cbr\u003e 6 Tabu search\u003cbr\u003e PART 3\u003cbr\u003e 7 Genetic algorithms\u003cbr\u003e 8 Genetic algorithm variants\u003cbr\u003e PART 4\u003cbr\u003e 9 Particle swarm optimization\u003cbr\u003e 10 Other swarm intelligence algorithms to explore\u003cbr\u003e PART 5\u003cbr\u003e 11 Supervised and unsupervised learning\u003cbr\u003e 12 Reinforcement learning\u003cbr\u003e included with the eBook only: \u003cbr\u003e Appendix A\u003cbr\u003e Appendix B\u003cbr\u003e Appendix C","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":45037164298391,"sku":"9781633438835","price":6407.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781633438835.webp?v=1768543673","url":"https:\/\/atlanticbooks.com\/products\/optimization-algorithms-ai-techniques-for-design-planning-and-control-problems-9781633438835","provider":"Atlantic Books","version":"1.0","type":"link"}