Udemy – Particle Swarm Optimization Algorithm(MATLAB Implementation) 2022-2

Apr 18, 2025 - 19:14

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Particle Swarm Optimization Algorithm (MATLAB Implementation) Course. This course is a comprehensive program designed to teach the Particle Swarm Optimization (PSO) algorithm and how to implement it in MATLAB software. This course aims to provide the necessary knowledge and skills for engineering students at the undergraduate, graduate, and doctoral levels. This course is specifically designed for engineering students in all disciplines at the undergraduate, graduate, and doctoral levels. Engineering students from all disciplines can participate in this course and apply the knowledge gained to solve optimization problems in their field, as part of a small project or final project. In addition, the course is also useful for doctoral students in various engineering disciplines. This course is applicable to everyone, regardless of their programming knowledge.

The basics of MATLAB programming are taught at the beginning of the course and the concept of optimization algorithms is also explained from the beginning. The course content is organized in such a way that the learner can understand engineering optimization from the ground up and solve research problems that lead to publication in a highly respected international journal. A guided project is also included at the end of the course to ensure that students can apply their knowledge to real engineering optimization problems. This course should be useful for students from all universities around the world.

What you will learn:

You will learn the basics of MATLAB programming.
You will understand the Particle Swarm Optimization (PSO) algorithm.
You will implement the PSO algorithm in MATLAB to solve the criterion functions.
You will implement the PSO algorithm to solve a mechanical engineering optimization problem.
You will work on a research problem in the field of optimization.

This course is suitable for people who:

Undergraduate, master’s, and doctoral students in all engineering disciplines.

Course details Particle Swarm Optimization Algorithm (MATLAB Implementation)

Publisher: Udemy
Instructor: Mayank Dadge
Training level: Beginner to advanced
Training duration: 2 hours and 59 minutes
Number of lessons: 24

Course headings

Prerequisites for the Particle Swarm Optimization Algorithm (MATLAB Implementation) course

Knowledge of high school mathematics is required
No programming knowledge in MATLAB is required. You’ll learn everything you need in the course.
No prior knowledge of optimization is required

Course images

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Download file – 908 MB

File(s) password: www.downloadly.ir

File size

908 MB

Udemy – Particle Swarm Optimization Algorithm(MATLAB Implementation) 2022-2