Udemy – Optimization with Metaheuristics in Python 2020-8

Udemy – Optimization with Metaheuristics in Python 2020-8 Downloadly IRSpace

Apr 17, 2025 - 04:54 Updated: Aug 17, 2025 - 09:08

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Udemy – Optimization with Metaheuristics in Python 2020-8

Optimization with Metaheuristics in Python is the name of a tutorial from Udemy that teaches how to optimize with extra-heuristic algorithms, simulated refrigeration algorithm, genetic algorithm, banned search, and evolutionary strategy. During this course you will learn how to optimize Python language and learn to work with heuristic algorithms. Sometimes in complex problems, using a deterministic algorithm will not get 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 with a great deal of information on meta-algorithm algorithms and uses four basic techniques such as simulated refrigeration algorithm, genetic algorithm, banned 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 learn 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 restrictions with the help of penalty method

Specifications of the Optimization with Metaheuristics course in Python:

Publisher: Udemy
Instructors: Curiosity for Data Science
Language: English
Level: Introductory to Advanced
Number of Lessons: 83
Duration: 9 hours and 52 minutes