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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8 小时完成

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您将学到什么

Learn working principles of evolutionary algorithms (an AI branch for optimization) and their application in science and engineering.

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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

One of the most important applications of AI in engineering is optimization. Optimization is almost needed everywhere in science and engineering. Compared with traditional mathematical optimization techniques, evolutionary computation, which is a branch of AI, is attracting much attention. After taking this course, students will be able to understand how evolutionary computation works and fluently use AI-based optimization techniques to solve engineering optimization problems via MATLAB. This course introduces fundamental concepts in optimization and the working principles of genetic algorithm and particle swarm optimization in a comprehensive and understandable way. Case studies from real-world engineering are provided, making sure students have the ability to apply what they have learned in real practice.

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: Foundations 6分钟
Module 4 Introduction to Week 4's Study 1分钟
Introduction to Optimization: Concepts and Applications 10分钟
Introduction to Optimization: Further Applications 6分钟
Optimization Objectives and Constraints: Objectives and Constraints 6分钟
Optimization Objectives and Constraints: Multiple Objectives 9分钟
Global and Local Optimization: Concepts 10分钟
Formulate Engineering Problems to Optimization Problems: Procedures and A Case Study 11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 Structure 10分钟
Specialization Sample Certificate 10分钟
Materials about Optimization 10分钟
Materials about Optimization Objectives and Constraints 10分钟
Materials about Global and Local Optimization 10分钟
Materials about Optimization Problem Formulation 10分钟
Materials about Case Studies 10分钟

1个作业总计30分钟

Module 4 Quiz 30分钟

1个讨论话题总计10分钟

Module 4 Discussion about Evolutionary Computation 10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 Study 1分钟
Genetic Algorithm: A First Introduction 7分钟
Genetic Algorithm: A Demo 8分钟
Genetic Algorithms: GA Representation, Initialization and Selection 11分钟
Genetic Algorithms: GA Crossover and Mutation 8分钟
Genetic Algorithms: GA Stopping Criterion and Summary 6分钟
Use GA via MATLAB: GA Function 7分钟
Use GA via MATLAB: Employ the Function 7分钟
Use GA via MATLAB: Case Studies 6分钟

6篇阅读材料总计50分钟

How to Access MATLAB Online 5分钟
Materials on Genetic Algorithms 10分钟
Materials on Genetic Algorithms 10分钟
Materials on Using Genetic Algorithms 10分钟
Materials on Case Studies 10分钟
Objective function for Assignment 5 5分钟

1个作业总计30分钟

Module 5 Quiz 30分钟

1个应用程序项目总计30分钟

Module 5 Assignment 30分钟

1个讨论话题总计10分钟

Module 5 Discussion on Genetic Algorithms 10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 Study 1分钟
Particle Swarm Optimization: A First Introduction 7分钟
Particle Swarm Optimization: Operators 7分钟
Particle Swarm Optimization: Workflow Demo 12分钟
Use PSO via MATLAB: PSO Function 7分钟
Use PSO via MATLAB: Employ the Function 4分钟
Use PSO via MATLAB: Case Studies 6分钟

4篇阅读材料总计35分钟

Materials on Particle Swarm Optimization 10分钟
Materials on Using Particle Swarm Optimization 10分钟
Materials on Using Particle Swarm Optimization 10分钟
Objective function for Assignment 6 5分钟

1个作业总计30分钟

Module 6 Quiz 30分钟

1个应用程序项目总计30分钟

Module 6 Assignment 30分钟

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位教师

Bo Liu

University of Glasgow

3 门课程 3,202 名学生

提供方

University of Glasgow

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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.

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 20, 2025审阅

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

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