Udemy – Optimization with Metaheuristics in Python 2019-5

Description

Optimization with Metaheuristics in Python is the name of a training course from Udemy site that fully teaches how to optimize with the help of meta-innovative algorithms, simulated refrigeration algorithms, genetic algorithms, forbidden search, and evolutionary strategy. During this course you will learn how to optimize in the Python language and learn how to work with ultra-innovative algorithms. Sometimes in complex problems, using a definite algorithm does not lead you to the best and most optimal solution. In such cases, using other algorithms is the most logical way to reach the answer and solve the problem.

This course provides you with a wealth of information on meta-heuristic algorithms and uses four main techniques such as simulated refrigeration algorithms, genetic algorithms, forbidden search, and evolutionary strategy to optimize solutions in Python. By watching this course, you can learn how to code these algorithms in Python and get acquainted with the method of managing constraints with the help of the penalty method.

Items that will be taught in this course

Teaching the main topics of optimization

Familiarity with meta-heuristic algorithms

Simulated refrigeration algorithm, genetic algorithm, forbidden search, and evolutionary strategy

Coding meta-heuristic algorithms in Python

Manage restrictions using the penalty method

Specifications of Optimization with Metaheuristics in Python

English language

Duration: 9 hours and 52 minutes

Number of courses: 83

Instructor: Curiosity for Data Science

File format: mp4

Topics

83 lectures 09:52:53

Introduction 9 lectures 47:41

Simulated Annealing 17 lectures 02:06:04

Genetic Algorithm 41 lectures 05:15:01

Tabu Search 6 lectures 33:00

Evolutionary Strategies 6 lectures 40:56

Constraint Handling 3 lectures 29:46

BONUS OFFER!! 1 lecture 00:23

Prerequisite

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

Basic programming skills in Python – (not a must, but helpful)

Installation

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