Particle Swarm Optimization Algorithm(MATLAB Implementation)

Particle Swarm Optimization Algorithm(MATLAB Implementation)

This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Engineering students from all branches can take this course and apply the knowledge to solve optimization problems in their field as part of a mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches. This course can be taken by everyone irrespective of their programming knowledge. The basics of MATLAB programming is taught in the beginning of the course and the concept of optimization algorithms is also explained from the scratch. 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. A guided project is also included at the end of the course to make sure students can apply the knowledge to real engineering optimization problems. 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 Particle Swarm Optimization (PSO) algorithm

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

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

Solving Engineering Optimization Problems using Particle Swarm Optimization algorithm (MATLAB Implementation)

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What you will learn

• Learn the basics of MATLAB programming
• Understand Particle Swarm Optimization (PSO) algorithm
• Implement PSO algorithm in MATLAB to solve benchmark functions

Rating: 4.89535

Level: All Levels

Duration: 3 hours

Instructor: Mayank Dadge