Udemy – Genetic Algorithm: A to Z with Combinatorial Problems 2022-8

Published on: 2023-06-27 02:59:10

Categories: 28

Description

Genetic Algorithm: A to Z with Combinatorial Problems is a complete training course to implement genetic algorithm to solve real world problems using MATLAB. In this course, we first examine the basics of genetic algorithm, then we implement the simplest form of genetic algorithm (binary GA) in MATLAB, then we implement real GA. In the next section, well-known problems in operations research such as transportation problems, hub location problems (HLP), quadratic assignment problems, and traveling salesman problems (TSP) are examined and we try to solve them using genetic algorithm. Also, in order to obtain the best value of genetic algorithm parameters, we examine two methods, Taguchi method and response surface methodology (RSM).

What you will learn in this course:

Concepts and terms related to genetic algorithm
Basic rules in MATLAB programming that you need to implement any meta-heuristic algorithm
Using genetic algorithm for a wide range of operations research problems
Determine the best values for genetic algorithm parameters 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 operations research problems with genetic algorithm
Anyone who wants to implement genetic algorithm in MATLAB
Anyone who wants to statistically compare two meta-heuristic algorithms

Course specifications:

Publisher : Udemy
Instructor : Dr. Reza Moghdani
Language : English
Level : All Levels
Duration : 12h 9m
number of lessons : 97
Format : mp4

Course contents :

Requirements :

Basic knowledge in programming
Basic knowledge in Operations Research and Optimization – (not a must, but helpful)
Basic knowledge in statistical analysis – (not a must, but helpful)