Evolutionary Computation and its Applications

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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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初级等级

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8 小时完成

灵活的计划

自行安排学习进度

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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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

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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: 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3,614 名学生

提供方

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 9, 2025审阅

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

已于 Nov 21, 2025审阅

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

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