Optimization Using Genetic Algorithm in MATLAB

Optimization Using Genetic Algorithm in MATLAB

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)

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

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What you will learn

• Write MATLAB program to solve Engineering problems
• Understand the workings of Genetic Algorithm
• Implement Genetic Algorithm to solve benchmark functions

Rating: 4.79825

Level: All Levels

Duration: 2.5 hours

Instructor: Mayank Dadge