Introduction to Genetic Algorithms: Theory and Applications

Online Course

Udemy
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Introduction to Genetic Algorithms: Theory and Applications
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Introduction to Genetic Algorithms: Theory and Applications
The course Introduction to Genetic Algorithms: Theory and Applications is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn the main mechanisms of Genetic Algorithm as a heursitic Artificial Intalligence search or optimization in Matlab

Course description
  • Introduction to Genetic Algorithms: Theory and Applications
  • Use the Genetic Algorithm to solve optimization problems
  • Modify or improve the Genetic Algorithm
  • Analyze the performance of the Genetic Algorithm
  • Be familiar with the basics of programming
  • Be familiar with Matlab programming language
  • 7 hours on-demand video
  • 21 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Prof. Seyedali Mirjalili
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Prerequisites & Facts

Introduction to Genetic Algorithms: Theory and Applications

Course Topic

Happiness, Personal Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction to Genetic Algorithms: Theory and Applications

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Introduction to Genetic Algorithms: Theory and Applications
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School: Udemy
Topic: Genetic Algorithm, IT & Software

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