Artificial bee colony Optimization Algorithm (Using MATLAB)

Artificial bee colony Optimization Algorithm (Using MATLAB), available at $59.99, has an average rating of 4.55, with 26 lectures, based on 142 reviews, and has 1550 subscribers.

You will learn about 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 This course is ideal for individuals who are Undergraduate, Post graduate Students and PhD scholars of all Engineering disciplines It is particularly useful for Undergraduate, Post graduate Students and PhD scholars of all Engineering disciplines.

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Summary

Title: Artificial bee colony Optimization Algorithm (Using MATLAB)

Price: $59.99

Average Rating: 4.55

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Undergraduate, Post graduate Students and PhD scholars of all Engineering disciplines

Target Audiences

Undergraduate, Post graduate Students and PhD scholars of all Engineering disciplines

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

Course Curriculum

Chapter 1: Basics of MATLAB Programming

Lecture 1: Introduction to MATLAB

Lecture 2: Variables and Operators

Lecture 3: Vector Declaration

Lecture 4: Indexing and Size of Vectors

Lecture 5: Matrix Operations

Lecture 6: max(), min(), ones(), and zeros()

Lecture 7: rand(), randi(), and repmat()

Lecture 8: If statement

Lecture 9: For Loop

Lecture 10: While Loop

Lecture 11: Functions

Lecture 12: Plots

Chapter 2: Concept of Optimization and Artificial bee colony optimization Algorithm (ABC)

Lecture 1: Introduction to Optimization

Lecture 2: Effect of Constraints on Optimal Solution

Lecture 3: Terminologies Used in Optimization and Pseudo Codes

Lecture 4: Philosophy of Artificial Bee Colony Algorithm

Chapter 3: MATLAB Implementation of ABC algorithm to solve benchmark functions

Lecture 1: Matyas Function Introduction

Lecture 2: Matyas Function Tutorial

Lecture 3: Coding for Matyas Function Part 1 – Initialization Phase

Lecture 4: Coding for Matyas Function Part 2 – Employed Bee Phase

Lecture 5: Coding for Matyas Function part 3 – Onlooker Bee Phase

Lecture 6: Coding for Matyas Function Part 4 – Scout Bee Phase and Conclusion

Lecture 7: Rosenbrock Function Introduction

Lecture 8: Coding for Rosenbrock Function

Chapter 4: MATLAB Implementation of ABC Algorithm to solve a typical Engineering problem

Lecture 1: Capstone Project Introduction

Lecture 2: Coding for the Problem in the Capstone Project

Instructors

Dr. H. T. Jadhav
B.E. (Power Engg.), M.Tech (Power Engg.), Ph.D.(Power Engg.)
Mayank Dadge
B.Tech Mechanical Engineering

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 21 votes
5 stars: 119 votes

Frequently Asked Questions

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