Optimization Algorithms

Solve design, planning, and control problems using modern machine learning and AI techniques. For AI practitioners familiar with the Python language.

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Solve design, planning, and control problems using modern machine learning and AI techniques.

In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:



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
Efficient trade-offs between search space exploration and exploitation
State-of-the-art Python libraries for search and optimization

About the technology:

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.