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Introduction to Genetic Algorithms: Theory and Applications

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Overview

Learn the main mechanisms of Genetic Algorithm as a heursitic Artificial Intalligence search or optimization in Matlab What you'll learn: Use the Genetic Algorithm to solve optimization problems Modify or improve the Genetic Algorithm Analyze the performance of the Genetic Algorithm This is an introductory course to the Genetic Algorithms. We will cover the most fundamental concepts in the area of nature-inspired Artificial Intelligence techniques. Obviously, the main focus will be on the Genetic Algorithm as the most well-regarded optimization...

Syllabus

  • Inspiration
  • Gene Representation and Fitness Function
  • Selection
  • Recombination (crossover)
  • Mutation
  • Elitism
  • Implementation of the Genetic Algorithm
  • Continuous version of the Genetic Algorithm
  • Applications of the Genetic Algorithm
  • Bonus Video
Introduction to Genetic Algorithms: Theory and Applications
Go to Class

via Udemy

7 hours

Certificate Available

English

On-Demand

Beginner

Instructor

Seyedali Mirjalili

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