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.