[40% OFF]Genetic Algorithms in Elixir Coupon-Educative.io

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This course has been designed to introduce you to a field of programming you might have never been exposed to. In this course, you’ll learn everything you need to know to start working with genetic algorithms

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Here is what you will Learn from Genetic Algorithms in Elixir

1. Introduction

1. A Guide to Follow This Course
2. What to expect from this course?
3. Why Elixir?

2. Writing Your First Genetic Algorithm

1. Understanding Genetic Algorithms
2. Role of Exploration and Exploitation in Genetic Algorithms
3. Introducing the One-Max Problem
4. Understanding the Flow of Genetic Algorithms
5. The Evaluation, Selection and Crossover Steps
6. Adding Mutation to our Genetic Algorithm

3. Breaking Down Genetic Algorithms

1. Looking Deeper into Genetic Algorithms
2. Selection, Crossover, Mutation and Termination
3. Building a Framework for Genetic Algorithms
4. Adding the Missing Pieces to Functions
5. Understanding Hyperparameters
6. Solving the One-Max Problem Again

4. Encoding Problems and Solutions

1. Understanding and Creating Chromosomes
2. Using Behaviours to Model Problems
3. Creating the Problem Behaviour
4. Understanding and Choosing Genotypes
5. Using the New Framework in One-Max problem

5. Evaluating Solutions and Populations

1. Optimizing Cargo Loads
2. Introducing Penalty Functions
3. Defining Termination Criteria
4. Applying Termination Criteria to the Cargo Problem