Optimization Algorithms [Audiobook]

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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.