Tutorials :

Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm

      Author: Baturi   |   14 February 2022   |   comments: 0



Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 975 MB | Duration: 2h 59m
Learn MATLAB basics and implementation of Particle Swarm Optimization algorithm from scratch


What you'll learn
Learn the basics of MATLAB programming
Understand Particle Swarm Optimization (PSO) algorithm
Implement PSO algorithm in MATLAB to solve benchmark functions
Implement PSO algorithm to solve a mechanical engineering optimization problem
Work on a research problem in the field of optimization
Description
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
Who this course is for
Undergraduate, Post graduate Students and PhD scholars of all Engineering disciplines

Homepage
https://www.udemy.com/course/matlab-basics-and-particle-swarm-optimization-algorithm/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


Links are Interchangeable - No Password - Single Extraction
Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm Fast Download
Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm Full Download

free Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Downloads Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Rapidgator Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Nitroflare Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Mediafire Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Uploadgig Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Mega Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, Torrent Download Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm, HitFile Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm , GoogleDrive Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm,  Please feel free to post your Udemy - MATLAB Basics and Particle Swarm Optimization Algorithm Download, Tutorials, Ebook, Audio Books, Magazines, Software, Mp3, Free WSO Download , Free Courses Graphics , video, subtitle, sample, torrent, NFO, Crack, Patch,Rapidgator, mediafire,Mega, Serial, keygen, Watch online, requirements or whatever-related comments here.





DISCLAIMER
None of the files shown here are hosted or transmitted by this server. The links are provided solely by this site's users. The administrator of our site cannot be held responsible for what its users post, or any other actions of its users. You may not use this site to distribute or download any material when you do not have the legal rights to do so. It is your own responsibility to adhere to these terms.

Copyright © 2018 - 2023 Dl4All. All rights reserved.