Mô tả

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 Artificial bee colony 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 Optimization and Artificial bee colony optimization Algorithm (ABC)

  • Part 3 - MATLAB Implementation of ABC algorithm to solve benchmark functions

  • Part 4 - MATLAB Implementation of ABC Algorithm to solve a typical Engineering optimization Problem

Bạn sẽ học được gì

Write MATLAB program to solve Engineering problems

Understand Artificial bee colony Optimization Algorithm (ABC)

Implement ABC Algorithm to solve benchmark problems

Implement ABC Algorithm to solve Mechanical Engineering problems

Design and develop MATLAB program using ABC Algorithm for Mechanical Engineering Optimization problem

Work on research problem leading to publication in international journals of high repute

Yêu cầu

  • Knowledge of Basic Mathematics

Nội dung khoá học

4 sections

Basics of MATLAB Programming

12 lectures
Introduction to MATLAB
02:15
Variables and Operators
06:46
Vector Declaration
08:35
Indexing and Size of Vectors
05:06
Matrix Operations
07:20
max(), min(), ones(), and zeros()
04:22
rand(), randi(), and repmat()
03:19
If statement
03:17
For Loop
05:45
While Loop
04:17
Functions
06:59
Plots
03:55

Concept of Optimization and Artificial bee colony optimization Algorithm (ABC)

4 lectures
Introduction to Optimization
14:37
Effect of Constraints on Optimal Solution
02:17
Terminologies Used in Optimization and Pseudo Codes
05:38
Philosophy of Artificial Bee Colony Algorithm
19:57

MATLAB Implementation of ABC algorithm to solve benchmark functions

8 lectures
Matyas Function Introduction
02:04
Matyas Function Tutorial
06:42
Coding for Matyas Function Part 1 - Initialization Phase
19:54
Coding for Matyas Function Part 2 - Employed Bee Phase
14:29
Coding for Matyas Function part 3 - Onlooker Bee Phase
06:38
Coding for Matyas Function Part 4 - Scout Bee Phase and Conclusion
12:57
Rosenbrock Function Introduction
01:17
Coding for Rosenbrock Function
15:11

MATLAB Implementation of ABC Algorithm to solve a typical Engineering problem

2 lectures
Capstone Project Introduction
04:14
Coding for the Problem in the Capstone Project
09:00

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