| 1. Introduction to Optimization.mp4 | 84.3 MB | ||
| 1. Introduction to Optimization.srt | 13 KB | ||
| 1. Introduction.mp4 | 11.1 MB | ||
| 1. Introduction.srt | 3 KB | ||
| 1. Matyas Function Introduction.mp4 | 16.4 MB | ||
| 1. Matyas Function Introduction.srt | 2.7 KB | ||
| 1. Project Problem Introduction.mp4 | 17 MB | ||
| 1. Project Problem Introduction.srt | 6.1 KB | ||
| 10. While Loop.mp4 | 12.9 MB | ||
| 10. While Loop.srt | 5.5 KB | ||
| 11. Functions.mp4 | 22.4 MB | ||
| 11. Functions.srt | 8.5 KB | ||
| 12. Plots.mp4 | 9.6 MB | ||
| 12. Plots.srt | 4.9 KB | ||
| 2. Effect of Constraints on Optimal Solution.mp4 | 9.5 MB | ||
| 2. Effect of Constraints on Optimal Solution.srt | 2.4 KB | ||
| 2. Matyas Function Coding Part I.mp4 | 88.4 MB | ||
| 2. Matyas Function Coding Part I.srt | 13.9 KB | ||
| 2. Project Problem Coding.mp4 | 50.9 MB | ||
| 2. Project Problem Coding.srt | 8.8 KB | ||
| 2. Variables and Operators.mp4 | 23.6 MB | ||
| 2. Variables and Operators.srt | 8 KB | ||
| 3. Matyas Function Coding Part II.mp4 | 91.5 MB | ||
| 3. Matyas Function Coding Part II.srt | 11.3 KB | ||
| 3. Terminologies Used in Optimization and Pseudo Codes.mp4 | 32.5 MB | ||
| 3. Terminologies Used in Optimization and Pseudo Codes.srt | 5.5 KB | ||
| 3. Vector Declaration.mp4 | 19.9 MB | ||
| 3. Vector Declaration.srt | 10.8 KB | ||
| 4. Philosophy of PSO algorithm- Part I.mp4 | 230.3 MB | ||
| 4. Philosophy of PSO algorithm- Part I.srt | 36.1 KB | ||
| 4. Rosenbrock Function Introduction.mp4 | 7 MB | ||
| 4. Rosenbrock Function Introduction.srt | 1.8 KB | ||
| 4. indexing and Size of Vector.mp4 | 12.4 MB | ||
| 4. indexing and Size of Vector.srt | 6.1 KB | ||
| 5. Matrix Operations.mp4 | 16.7 MB | ||
| 5. Matrix Operations.srt | 9.1 KB | ||
| 5. Philosophy of PSO algorithm- Part II.mp4 | 108.3 MB | ||
| 5. Philosophy of PSO algorithm- Part II.srt | 17.9 KB | ||
| 5. Rosenbrock Function Coding.mp4 | 63.4 MB | ||
| 5. Rosenbrock Function Coding.srt | 11.4 KB | ||
| 6. max(), min(), ones() and zeros().mp4 | 9.8 MB | ||
| 6. max(), min(), ones() and zeros().srt | 5.3 KB | ||
| 7. rand(), randi() and repmat().mp4 | 8.7 MB | ||
| 7. rand(), randi() and repmat().srt | 3.9 KB | ||
| 8. If Statement.mp4 | 10.9 MB | ||
| 8. If Statement.srt | 4.1 KB | ||
| 9. For Loop.mp4 | 17.6 MB | ||
| 9. For Loop.srt | 6.5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 50 total files | |||
MATLAB Basics and Particle Swarm Optimization Algorithm
https://TutPig.com
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.
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