Description
Optimization with Metaheuristics in Python is the name of a tutorial from Udemy that teaches how to optimize with additional-heuristic algorithms, simulated refrigeration algorithms, genetic algorithms, restricted search, and evolutionary strategy. During this course you will learn how to customize the Python language and learn to work with heuristic algorithms. Sometimes in complex problems, using deterministic algorithms will not give you the best and most optimal solution. In such a situation, using other algorithms is the most logical solution to the problem.
This course provides you lots of information on meta-algorithms algorithms and uses four basic techniques like Simulated Refrigeration Algorithm, Genetic Algorithm, Restricted Search, and Evolutionary Strategy to optimize the solution in Python language. By watching this course you can learn how to code these algorithms in Python language and how to manage constraints using the penalty method.
What you will learn in Optimization with Metaheuristics in Python:
- Learn the main topics of optimization
- Introduction to Extra-Heuristic Algorithms
- Simulated Refrigeration Algorithm, Genetic Algorithm, Forbidden Search and Evolution Strategy
- Coding of Extra-Heuristic Algorithms in Python Language
- Manage sanctions using the penal code
Highlights of the Optimization with Metaheuristics course in Python:
Publisher: Udemy
Instructor: Curiosity for Data Science
language English
Level: Introductory to advanced
Number of lessons: 83
Duration: 9 hours and 52 minutes
course title
Course Prerequisites
Basic knowledge in operations research and optimization – (not required, but useful)
Basic programming skills in Python – (not required, but helpful)
Pictures
Sample Film
installation Guide
After extract watch it with your favorite player.
English subtitle
Quality: 720p
download link
File Password: free download software
size
4.6 GB