Skip to content
Write a review
UdemyEngineeringPaid courseAll LevelsCertificate

Optimization Using Genetic Algorithm in MATLAB (Udemy.com)

MATLAB programming basics and GA implementation to solve constrained optimization problems in the field of engineering

4.2
189 reviews

Created by: Mayank Dadge

Last updated July 2022

icon
What you will learn

  • Write MATLAB program to solve Engineering problems
  • Understand the workings of Genetic Algorithm
  • Implement Genetic Algorithm to solve benchmark functions
  • Implement Genetic Algorithm to solve an engineering optimization problems
  • Design and develop MATLAB program using GA for an engineering optimization problems
  • Work on research problem leading to publication in international journals of high repute

How it compares

Against the other 335 rated Udemy courses in Engineering on CourseDuck:

  • Rating4.2 out of 5higher than 21% of them
  • Reviews189#236 of 336 by number of reviews
  • Length2.6 hoursshorter than 78% of them
  • Last updatedJuly 2022earlier than 65% of them

icon
Course Description

This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Especially the students of Mechanical, Electrical, Automobile, Chemical, Aeronautical, Electronics, Computer science, Instrumentation, Mechatronics, Manufacturing, Robotics and Civil Engineering can learn MATLAB basics and solve Engineering Optimization problems in their area as part of mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches. The course is designed in such a way that the student who is not well versed with MATLAB programing can learn the basics of MATLAB in the first part so that it is easy for him/her to understand MATLAB implementation of Genetic Algorithm to solve simple and advanced Engineering problems. The content is so organized that the learner should be able to understand Engineering optimization from scratch and solve research problems leading to publication in an international journal of high repute. It should be useful to students of all universities around the world. 

This course is divided into FOUR Parts

  • Part I - Basics of MATLAB Programming

  • Part 2 - Concept of Genetic Algorithm

  • Part 3 - MATLAB Implementation of GA to solve benchmark functions

  • Part 4 - Capstone Project (MATLAB Implementation of GA to solve a typical Engineering optimization Problem)
Read More All Levels All Levels product length iconTime: 2.6h

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Get the Udemy discount

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Mayank Dadge

I am a Mechanical Engineering graduate from Walchand College of Engineering, Sangli, an autonomous institute established in 1947. After learning about stochastic optimization algorithms I have implemented the knowledge to write a research article. I work in the field of Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Artificial Bee Colony (ABC) algorithm, and Teaching-Learning Based Optimization (TLBO) algorithm. 

Read More

icon
More courses by Mayank Dadge

$10.99

All courses by Mayank Dadge

icon
More Engineering courses

$74.99

$12.99

$10.99

$84.99

$14.99

$13.99

All Engineering courses

icon
Reviews

4.2

189 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By PROM Chanrith on 12/29/2024

This chapter is not related to my major so far.

By Sunil Kumar on 1/4/2023

little discussion on the GA code formulation, how the GA parameters selected. not enough

By Bibhavari Bandyopadhyay on 12/29/2022

This is the best course ever. It solved all my problems. I was stress-free and relaxed because of the clarity of instructions in the course. I could understand the concept very well and implement it smoothly with no problems. This is bestest course ever. Get to see more courses from these instructors.

By Ahmet Aktas on 12/24/2022

Dear Dr. H. T. Jadhav, Thank you for your reply. I continue to adapt the change to my own problem. Thank you again for your interest and feedback. Best Regards.

By Rohit S. Patil on 12/18/2022

The course is very useful. It helped me gain practical knowledge through this course

By Samindar Vibhute on 12/16/2022

Fabulous work on genetic algorithms , Hope all students take advantage of this course.

By Muhammad Ramdani on 12/5/2022

A good online course is engaging and challenging. It invites students to participate, motivates them to contribute and captures their interest and attention

By Mohini shinde on 9/21/2022

A good online course is engaging and challenging. It invites students to participate, motivates them to contribute and captures their interest and attention

By Soham Ghewari on 7/17/2022

The course is very helpful in understanding the Genetic algorithm and the implementation of Matlab. The instructors are well qualified and share their insights along with the course material! I strongly recommend this course!!

By Manibhushan Kumar on 10/7/2025

Showing all 10 reviews on CourseDuck

Read all 189 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 84 / 100

Optimization Using Genetic Algorithm in MATLAB
Visit course on Udemy Write a review
  • Video Duration: icon 2.6h
  • Price: $10.99
  • Provider: icon Udemy
  • Updated: icon July 2022
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
30-day money-back guarantee on most paid courses

Udemy Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com