• views: 92
• date: 19 December 2024
• posted by: voska89

Solve design, planning, and control problems using modern AI techniques.
Optimization 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? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems.
In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn
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
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.
About the Technology
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.
About the Book
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 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.
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







   
   
   

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