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Learner Reviews & Feedback for Evolutionary Computation and its Applications by University of Glasgow

5.0
stars
31 ratings

About the 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....

Top reviews

EJ

Nov 24, 2025

Thanks to this course, I can now confidently use MATLAB to solve optimization problems with evolutionary algorithms. Practical skills that immediately paid off!

QH

Nov 10, 2025

Very excellent talk, really enjoyed the lecture!!!

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1 - 19 of 19 Reviews for Evolutionary Computation and its Applications

By WenD

Nov 21, 2025

This course demystifies evolutionary algorithms with clear explanations and practical examples, making complex optimization techniques accessible to all engineers and scientists.

By Zhidrg

Nov 21, 2025

The course’s comparison of evolutionary algorithms with traditional gradient-based methods highlighted their unique advantages in non-convex and high-dimensional problems.

By Suz

Nov 21, 2025

The course’s emphasis on robustness and adaptability in evolutionary solutions has equipped me to handle noisy data and dynamic environments in real-time control systems.

By MaliF

Dec 2, 2025

The instructor’s expertise in genetic programming and evolutionary strategies brought real world relevance to abstract concepts like multi-objective optimization.

By Ella J

Nov 24, 2025

Thanks to this course, I can now confidently use MATLAB to solve optimization problems with evolutionary algorithms. Practical skills that immediately paid off!

By triick

Nov 21, 2025

The instructor’s expertise in evolutionary multi-objective optimization (EMO) helped me tackle complex trade-offs in sustainable urban planning projects.

By James W

Nov 24, 2025

Finally, a course that explains why evolutionary algorithms work, not just how to use them. Deepened my understanding of AI’s engineering potential!

By Mason J

Dec 2, 2025

The comparison between traditional math optimization and evolutionary computation was eye opening. It clarified why AI methods are so powerful!

By Zhl

Nov 22, 2025

The hands-on projects made mastering genetic algorithms feel effortless and immediately applicable to real-world engineering challenges.

By Ethan

Mar 14, 2026

The course has provided me with valuable theoretical and practical insights, which have been highly beneficial to my research topic.

By Olivia H

Nov 24, 2025

This course bridged the gap between theoretical AI and practical engineering. Every module had clear, actionable takeaways!

By Dong

Nov 22, 2025

This course revolutionized my approach to complex optimization problems with practical evolutionary computation techniques.

By Later

Dec 2, 2025

Great! This course is a must for anyone interested in nature inspired problem solving.

By Qiang H

Nov 11, 2025

Amazing lectures, I have learnt a lot. Many thanks.

By Qing H

Nov 11, 2025

Very excellent talk, really enjoyed the lecture!!!

By Qing H

Nov 10, 2025

Excellent Lecture I have never seen before!!!

By Funhy

Nov 19, 2025

Great

By Qian

Nov 18, 2025

Nice

By Hongjie Z

Nov 18, 2025

Good