Explanation
Genetic Algorithms: A to Z with Integrated Problems is a comprehensive training course to implement genetic algorithms to solve real-world problems using MATLAB. In this course, we will first examine the basics of genetic algorithm, then we will implement the simplest form of genetic algorithm (binary GA) in MATLAB, and then we will implement real GA. In the next section, well-known operations research problems such as transportation problems, hub location problems (HLP), quadratic placement problems, and traveling salesman problems (TSP) are examined and we try to solve them using a genetic algorithm. Also, to find the best value of the genetic algorithm parameters, we examine two methods, the Taguchi method and the response surface method (RSM).
What you will learn in this course:
- Concepts and terms related to genetic algorithm
- The basic MATLAB programming code you need to implement any meta-heuristic algorithm
- Use of genetic algorithm for various operations research problems
- Determine the optimal values of the parameters of the genetic algorithm using two well-known methods
- Statistical analysis to compare meta-heuristic algorithms
Who is this course for:
- Anyone who wants to learn genetic algorithm
- Those who want to solve research tasks with genetic algorithm problems
- Anyone who wants to implement a genetic algorithm in MATLAB
- Anyone who wants to statistically compare two meta-heuristic algorithms
Course specifications:
- Publisher: Udemy
- Teacher: Dr. Reza Moghdani
- Language : English
- Level : All Levels
- Duration: 12h 9m
- number of lessons: 97
- Format: mp4
The course includes:
Requirements:
- Basic knowledge of programming
- Basic knowledge of Operations Research and Improvement – (not mandatory, but helpful)
- Basic knowledge of statistical analysis – (not mandatory, but helpful)
Genetic Algorithm Diagrams: A to Z with Complex Problems
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle: English
Quality: 720p
Download links:
Password: free download software
File size:
3.85 GB