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Evolutionary Computation and its Applications

This course introduces the foundations of optimization and shows how AI can be applied to real-world science and engineering optimization problems. You will...

By Bo Liu on Coursera

About This Course

This course introduces the foundations of optimization and shows how AI can be applied to real-world science and engineering optimization problems. You will learn about evolutionary computation, a branch of AI for optimization. You will explore two widely used AI-based optimization techniques: genetic algorithms and particle swarm optimization. Along the way, you will learn how these methods work, when to use them, and how to implement them in MATLAB toolboxes to solve design and decision-making problems. The course combines core concepts with practical science and engineering case studies, helping you move from theory to application. By the end of the course, you will be able to define optimization problems and use AI methods to obtain solutions in realistic contexts. In partnership with MathWorks, enrolled learners receive access to MATLAB for the duration of the course.

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Frequently Asked Questions

How much does Evolutionary Computation and its Applications cost?

Visit the Evolutionary Computation and its Applications course page for current pricing and available discounts.

Who teaches Evolutionary Computation and its Applications?

Evolutionary Computation and its Applications is taught by Bo Liu, University of Glasgow .

What skill level is Evolutionary Computation and its Applications for?

This course is designed for all levels learners.

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Students0
Duration4 hours
LevelAll Levels
Languageen
PlatformCoursera
InstructorBo Liu