Course 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 part, 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 suitable 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
- teacher : Dr. Reza Moghdaniy
- English language
- Education level: all levels
- Duration: 12 hours and 9 minutes
- Number of courses: 97
- File format: mp4
Course headings:
Course prerequisites:
- 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)
Pictures of Genetic Algorithm: A to Z with Combinatorial Problems
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.85 GB