Optimization Algorithms. AI Techniques for Design, Planning, and Control Problems
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- Nombre de pages513
- PrésentationBroché
- FormatGrand Format
- Poids0.9 kg
- Dimensions18,5 cm × 23,5 cm × 2,5 cm
- ISBN978-1-63343-883-5
- EAN9781633438835
- Date de parution28/05/2024
- ÉditeurManning
Résumé
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 M 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. Optimization Algorithms 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 M 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. What's Inside : Graph search algorithms ; Metaheuristic algorithms ; Machine learning methods ; State-of-the-art Python libraries for optimization ; Efficient trade-offs between search space exploration and exploitation.
Requires intermediate Python and machine learning skills.
This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge M 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. What's Inside : Graph search algorithms ; Metaheuristic algorithms ; Machine learning methods ; State-of-the-art Python libraries for optimization ; Efficient trade-offs between search space exploration and exploitation.
Requires intermediate Python and machine learning skills.
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 M 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. Optimization Algorithms 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 M 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. What's Inside : Graph search algorithms ; Metaheuristic algorithms ; Machine learning methods ; State-of-the-art Python libraries for optimization ; Efficient trade-offs between search space exploration and exploitation.
Requires intermediate Python and machine learning skills.
This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge M 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. What's Inside : Graph search algorithms ; Metaheuristic algorithms ; Machine learning methods ; State-of-the-art Python libraries for optimization ; Efficient trade-offs between search space exploration and exploitation.
Requires intermediate Python and machine learning skills.