Optimization Algorithms: AI techniques for design, planning, and control problems

Modern machine learning and AI techniques can solve design, planning, and control problems by utilizing search and optimization algorithms, which find optimal or near-optimal solutions to a wide range of problems. Python libraries provide efficient trade-offs between search space exploration and exploitation.

Format: Paperback
Length: 536 pages
Publication date: 10 September 2024
Publisher: Manning

Modern machine learning and AI techniques can be used to solve design, planning, and control problems. In Optimization Algorithms, you will learn about 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, and efficient trade-offs between search space exploration and exploitation. Python libraries for search and optimization are also covered. 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.

Weight: 907g
Dimension: 235 x 187 (mm)
ISBN-13: 9781633438835