Evolutionary Computation and its Applications

Evolutionary Computation and its Applications

本课程是 Applied AI for Engineers and Scientists: Foundations 专项课程的一部分

位教师：Bo Liu

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3个模块

深入了解一个主题并学习基础知识。

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3个模块

深入了解一个主题并学习基础知识。

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您将学到什么

Explain core optimization concepts used in science and engineering.
Apply genetic algorithms and particle swarm optimization in MATLAB to science and engineering optimization problems.

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3 项作业

授课语言：英语（English）

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本课程是 Applied AI for Engineers and Scientists: Foundations 专项课程专项课程的一部分

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该课程共有3个模块

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.

One of the most important applications of AI in science and engineering is optimization. This module introduces fundamental concepts in optimization. After learning this module, students will be able to:

涵盖的内容

12个视频7篇阅读材料1个作业1个讨论话题

12个视频总计75分钟

Welcome to the specialization - Applied AI for Engineers and Scientists: Foundations6分钟
Module 4 Introduction to Week 4's Study1分钟
Introduction to Optimization: Concepts and Applications10分钟
Introduction to Optimization: Further Applications6分钟
Optimization Objectives and Constraints: Objectives and Constraints6分钟
Optimization Objectives and Constraints: Multiple Objectives9分钟
Global and Local Optimization: Concepts10分钟
Formulate Engineering Problems to Optimization Problems: Procedures and A Case Study11分钟
Case Studies (1)4分钟
Case Studies (2)7分钟
Case Studies (3)3分钟
Case Studies (4)1分钟

7篇阅读材料总计70分钟

Specialization and Course Structure10分钟
Specialization Sample Certificate10分钟
Materials about Optimization10分钟
Materials about Optimization Objectives and Constraints10分钟
Materials about Global and Local Optimization10分钟
Materials about Optimization Problem Formulation10分钟
Materials about Case Studies10分钟

1个作业总计30分钟

Module 4 Quiz30分钟

1个讨论话题总计10分钟

Module 4 Discussion about Evolutionary Computation10分钟

This module introduces genetic algorithm (GA), which is a famous optimization method inspired by the intelligence of the evolution process. After learning this module, students will be able to:

涵盖的内容

9个视频6篇阅读材料1个作业1个应用程序项目1个讨论话题

9个视频总计60分钟

Module 5 Introduction to Week 5's Study1分钟
Genetic Algorithm: A First Introduction7分钟
Genetic Algorithm: A Demo8分钟
Genetic Algorithms: GA Representation, Initialization and Selection11分钟
Genetic Algorithms: GA Crossover and Mutation8分钟
Genetic Algorithms: GA Stopping Criterion and Summary6分钟
Use GA via MATLAB: GA Function7分钟
Use GA via MATLAB: Employ the Function7分钟
Use GA via MATLAB: Case Studies6分钟

6篇阅读材料总计50分钟

How to Access MATLAB Online5分钟
Materials on Genetic Algorithms10分钟
Materials on Genetic Algorithms10分钟
Materials on Using Genetic Algorithms10分钟
Materials on Case Studies10分钟
Objective function for Assignment 55分钟

1个作业总计30分钟

Module 5 Quiz30分钟

1个应用程序项目总计30分钟

Module 5 Assignment30分钟

1个讨论话题总计10分钟

Module 5 Discussion on Genetic Algorithms10分钟

This module introduces particle swarm optimization (PSO). Swarm intelligence has attracted much attention in the AI field and PSO is a renowned global optimization algorithm based on swarm intelligence. After learning this module, students will be able to:

涵盖的内容

7个视频4篇阅读材料1个作业1个应用程序项目

7个视频总计43分钟

Module 6 Introduction to Week 6's Study1分钟
Particle Swarm Optimization: A First Introduction7分钟
Particle Swarm Optimization: Operators7分钟
Particle Swarm Optimization: Workflow Demo12分钟
Use PSO via MATLAB: PSO Function7分钟
Use PSO via MATLAB: Employ the Function4分钟
Use PSO via MATLAB: Case Studies6分钟

4篇阅读材料总计35分钟

Materials on Particle Swarm Optimization10分钟
Materials on Using Particle Swarm Optimization10分钟
Materials on Using Particle Swarm Optimization10分钟
Objective function for Assignment 65分钟

1个作业总计30分钟

Module 6 Quiz30分钟

1个应用程序项目总计30分钟

Module 6 Assignment30分钟

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位教师

Bo Liu

University of Glasgow

3 门课程3,656 名学生

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University of Glasgow

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已于 Nov 23, 2025审阅

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

已于 Nov 21, 2025审阅

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

已于 Dec 1, 2025审阅

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

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