10最好的遗传算法教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 遗传算法 技能并获得 遗传算法 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 遗传算法 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的遗传算法教程推荐

课程名 在校生（人数） 评论（计数）
1. Optimization Using Genetic Algorithms : MATLAB Programming 我们的最佳选择 7704+ 68+
2. Artificial Intelligence I: Meta-Heuristics and Games in Java 7223+ 685+
3. Introduction to Genetic Algorithms: Theory and Applications 3833+ 733+
4. Machine Learning Optimization Using Genetic Algorithm 2532+ 297+
5. Artificial Intelligence #7 : Genetic Algorithm Optimization 1556+ 22+
6. The Ultimate Beginners Guide to Genetic Algorithms In Python 1323+ 79+
7. Optimization Using Genetic Algorithm in MATLAB 1073+ 43+
8. AI and Meta-Heuristics (Combinatorial Optimization) Python 445+ 15+
9. Artificial Intelligence: Genetic Machine Learning Algorithms 289+ 30+
10. Genetic Algorithm Concepts and Working 46+ 32+

1. Optimization Using Genetic Algorithms : MATLAB Programming 经过 Karthik K Udemy课程 我们的最佳选择

A Quick Way to Learn and Solve Optimization Problems in MATLAB. A Course for Beginners.

截至目前，超过 7704+ 人们已经注册了这门课程，而且已经结束了 68+ 评论.

课程内容
Introduction to Optimization
Objective of Fitness Functions
Introduction to Genetic Algorithm
Genetic Algorithm in MATLAB

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2. Artificial Intelligence I: Meta-Heuristics and Games in Java 经过 Holczer Balazs Udemy课程

“Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Minimax, Heuristics and Meta-Heuristics”

截至目前，超过 7223+ 人们已经注册了这门课程，而且已经结束了 685+ 评论.

课程内容
Introduction
Why Should You Learn Artificial Intelligence?
### PATHFINDING ALGORITHMS (GRAPHS) ###
Breadth-First Search (BFS)
Depth-First Search (DFS)
Course Challenge #1 – Maze Escape
Iterative Deepening Depth-First Search (IDDFS)
A* Search Algorithm
### OPTIMIZATION ###
### META-HEURISTICS ###
Simulated Annealing
Simulated Annealing Implementation – Continuous Functions
Simulated Annealing Implementation – Combinatorial Optimization
Genetic Algorithms
Genetic Algorithms Implementation – Simple Example
Course Challenge #2 – Knapsack Problem
Particle Swarm Optimization
Particle Swarm Optimization – Simple Example
### TWO PLAYER GAMES ###
Minimax Algorithm – Game Engines
Tic-Tac-Toe Game
Algorhyme FREE Algorithms Visualizer App
Course Materials (DOWNLOADS)

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3. Introduction to Genetic Algorithms: Theory and Applications 经过 Seyedali Mirjalili Udemy课程

Learn the main mechanisms of Genetic Algorithm as a heursitic Artificial Intalligence search or optimization in Matlab

截至目前，超过 3833+ 人们已经注册了这门课程，而且已经结束了 733+ 评论.

课程内容
Inspiration
Gene Representation and Fitness Function
Selection
Recombination (crossover)
Mutation
Elitism
Implementation of the Genetic Algorithm
Continuous version of the Genetic Algorithm
Applications of the Genetic Algorithm
Bonus Video

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4. Machine Learning Optimization Using Genetic Algorithm 经过 Curiosity for Data Science Udemy课程

Learn how to optimize Machine Learning algorithms’ performances and apply feature selection using Genetic Algorithm

截至目前，超过 2532+ 人们已经注册了这门课程，而且已经结束了 297+ 评论.

课程内容
Introduction
Genetic Algorithm
Dataset
Support Vector Machine Optimization for a Regression Problem
Multilayer Perceptron Neural Network Optimization for a Regression Problem
Support Vector Machine Optimization for a Classification Problem
Feature Selection Using Genetic Algorithm
BONUS OFFER!!
Appendix

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5. Artificial Intelligence #7 : Genetic Algorithm Optimization 经过 Sobhan N. Udemy课程

Learn how to solve optimization problem using Genetic Algorithm Optimization Method

截至目前，超过 1556+ 人们已经注册了这门课程，而且已经结束了 22+ 评论.

课程内容
Introduction
Genetic Algorithm Optimization Method
Optimize simple function by GA using deap library and python
Find optimum point of complicated Trigonometric function
Solve well know optimization problem “Traveling Salesman Problem” using GA

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6. The Ultimate Beginners Guide to Genetic Algorithms In Python 经过 “Jones Granatyr, Edson Pacholok, IA Expert Academy” Udemy课程

Implement genetic algorithms from scratch to solve real world problems!

截至目前，超过 1323+ 人们已经注册了这门课程，而且已经结束了 79+ 评论.

课程内容
Introduction
Genetic algorithm from scratch
Libraries for genetic algorithms
Final remarks

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7. Optimization Using Genetic Algorithm in MATLAB 经过 “Mayank Dadge, Dr. H. T. Jadhav” Udemy课程

MATLAB programming basics and GA implementation to solve constrained optimization problems in the field of engineering

截至目前，超过 1073+ 人们已经注册了这门课程，而且已经结束了 43+ 评论.

课程内容
Basics of MATLAB Programming
Concepts of Optimization and Genetic Algorithm
MATLAB Implementation of GA to Solve Benchmark Functions
Capstone Project

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8. AI and Meta-Heuristics (Combinatorial Optimization) Python 经过 Holczer Balazs Udemy课程

“Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Heuristics, Minimax and Meta-Heuristics”

截至目前，超过 445+ 人们已经注册了这门课程，而且已经结束了 15+ 评论.

课程内容
Introduction
### GRAPH ALGORITHMS ###
Breadth-First Search (DFS) Algorithm
Challange #1 – WebCrawler
Depth-First Search (DFS) Algorithm
Challange #2 – Maze Solver
A* Search Algorithm
### META-HEURISTICS ###
Simulated Annealing
Simulated Annealing Implementation – Continuous Functions
Simulated Annealing Implementation – Combinatorial Optimization
Simulated Annealing Implementation – Sudoku
Genetic Algorithms
Genetic Algorithms Implementation – Simple Example
Genetic Algorithms Implementation – Constraint Satisfaction Problems
Challenge #3 – Knapsack Problem
Particle Swarm Optimization
Particle Swarm Optimization – Simple Example
### TWO PLAYER GAMES ###
Minimax Algorithm – Game Engines
Tic-Tac-Toe Game
### REINFORCEMENT LEARNING ###
Markov Decision Process (MDP) Theory
Exploration vs. Exploitation Problem
Q Learning Theory
Q Learning Implementation (Tic Tac Toe)
### APPENDIX – PYTHON PROGRAMMING CRASH COURSE ###
Appendix #1 – Python Basics
Appendix #2 – Functions
Appendix #3 – Data Structures in Python
Appendix #4 – Object Oriented Programming (OOP)
Appendix #5 – NumPy
COURSE MATERIALS

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9. Artificial Intelligence: Genetic Machine Learning Algorithms 经过 Vinay Phadnis Udemy课程

Learn AI based Genetic Algorithms in Machine Learning from theory to hands-on experience by developing 2 apps and game

截至目前，超过 289+ 人们已经注册了这门课程，而且已经结束了 30+ 评论.

课程内容
Introduction
Game#1: Guess The Phrase (Part-1)
Guess the Phrase (Part-2)
Find The Shortest Path (Part-1)
Find The Shortest Path (Part-2)
Flappy Bird game
Genetic.js of Flappy Bird
Back to the Gameplay.js

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10. Genetic Algorithm Concepts and Working 经过 Dr.Deeba K Udemy课程

Genetic Algorithm Concepts and Working

截至目前，超过 46+ 人们已经注册了这门课程，而且已经结束了 32+ 评论.

课程内容
History and Inspiration of Genetic Algorithm
Working of Genetic Algorithm
Elements of Genetic Algorithm
Applications of GA

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下面是一些关于学习的常见问题遗传算法

学习遗传算法需要多长时间？

“学习遗传算法需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 遗传算法 是为了什么？你的出发点在哪里？您是初学者还是有使用 遗传算法 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 遗传算法.

遗传算法 学起来容易还是难？

不，学习 遗传算法 对大多数人来说并不难。检查这个 关于如何学习的课程 遗传算法 立刻！

如何快速学习遗传算法？

学习 遗传算法 最快的方法是先得到这个 遗传算法 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 遗传算法？

如果您想探索和学习 遗传算法，那么 Udemy 为您提供了学习 遗传算法 的最佳平台。查看此 关于如何学习的课程 遗传算法 立刻！