courseraПрограммирование

Advanced Intelligent Optimization and its Applications

Курс от University of Glasgow

Средний≈ 14.2 чАнглийский

О курсе

The second course introduces advanced evolutionary computation methods for intelligent optimization and their applications. This course is built on the Applied AI Foundations Specialization, which introduced the fundamentals of genetic algorithms and particle swarm optimization. In this course, the configuration of intelligent optimization algorithms, handling constraints and multiple objectives, as well as combinatorial optimization, is introduced. Since almost all design problems in science and engineering can be formulated into optimization problems, after this course, you will become a professional designer armed with AI techniques, which is a big advantage compared to traditional experience-driven manual design techniques. This skill can be transferred to various domains in science and engineering.

Навыки, которые вы освоите

Model Optimization Performance Tuning Combinatorics Algorithms AI Workflows LLM Application AI Enablement Data Visualization System Configuration Mathematical Modeling Operations Research Performance Analysis Artificial Intelligence and Machine Learning (AI/ML)

Программа курса

3 модулей · 58 учебных материалов

01Configuration of Evolutionary Algorithms23 материалов

Module 4 Introduction

Welcome to Advanced Intelligent Optimization and its ApplicationsВидео Course Sample CertificateЧтение Specialisation Sample CertificateЧтение Connect with UofG OnlineЧтение

Module 4-1: Review of Evolutionary Algorithms

Учитесь у экспертов

Bo Liu

Professor

Advanced Intelligent Optimization and its Applications

О курсе

Навыки, которые вы освоите

Программа курса

Module 4 Introduction

Module 4-1: Review of Evolutionary Algorithms

Учитесь у экспертов

Bo Liu

Xin Ma

Module 4-2: Genetic Algorithm Configuration

Module 4-3: Particle Swarm Optimization Configuration

Module 4-4: Case Study - Array Antenna Optimization Using GA

Module 4-5: Dialogue

Module 4-6: Quiz

Module 4-7: Programming Assignment

Module 4-8: Summary

Module 5 Introduction

Module 5-1: Constrained Optimization

Module 5-2: Multiobjective Optimization

Module 5-3: Dialogue

Module 5-4: Quiz

Module 5-5: Programming Assignments

Module 5-6: Summary

Module 6 Introduction

Module 6-1: Introduction to Combinatorial Optimization

Module 6-2: 0-1 Combinatorial Optimization

Module 6-3: Sequential Combinatorial Optimization

Dialogue

Module 6 Quiz

Module 6 Programming Assignments

Module 6 Summary