Gain insights into building genetic algorithm frameworks in Elixir. Learn about statistics, genealogy tracking, and solving practical problems with customizable genetic algorithm frameworks.

elixir.tar.gz

Default-elixir

Elixir-genetic

Elixir-genetic-v1

Elixir-genetic-v2

Elixir-breaker

Mix-command

Elixir-encode

Elixir-evaluate

Elixir-encode-speller

Elixir-evaluate-complete

Elixir-evaluate-v2

Elixir-evaluate-v3

Elixir-evaluate-portfolio

Elixir-selection

Elixir-generate

Elixir-generate-orderone

Elixir-selection-random

Elixir-selection-tournament

Elixir-selection-roulette

Elixir-generate-singlepoint

Elixir-generate-uniform

Elixir-generate-whole

Elixir-prematureconverge

Elixir-prematureconverge-complete

Elixir-prematureconverge-complete-nqueens

Elixir-replacing

Elixir-tiger

Elixir-tiger_nogene

Elixir-tiger_gene

Elixir-tiger_visualize-gui

Elixir-tiger_visualize-gui-two

Elixir-tetris

Elixir-benchee

Elixir-profiling

Elixir-pmap

Elixir-nifs

Elixir-testing

Elixir-testing-credo

Elixir-testing-dialyzer

Elixir-tiger_visualize-mtpaint

Elixir-tetris-copy

Elixir-agent-onemax

Elixir-testing-dialyzer-updated

Elixir-tiger_deps.get

Elixir-writing_deps

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. As you work through the course, you’ll build a framework for problems using genetic algorithms. By the end, you’ll have a full-featured, customizable framework complete with statistics, genealogy tracking, and more, and you’ll have learned everything you need to solve practical problems with genetic algorithms.

Genetic Algorithms in Elixir

## What are NIFS?

**Native Implemented Functions (NIFs)** are a great way to inject speed into our Elixir/Erlang programs. NIFs are programs implemented in compiled languages like Rust or C/C++ that are then linked and loaded into our Elixir module at runtime.

NIFs were designed to be a simpler and more efficient way of interfacing with native code than ports. Ports interact with external programs and offer a mechanism for implementing program features in a different language.

NIFs are often used in places where Elixir/Erlang alone isn’t enough to efficiently get the job done. For example, the Matrex library uses NIFs to perform fast matrix operations because Elixir/Erlang isn’t optimized to perform these operations alone.

# What are NIFS?

**Native Implemented Functions (NIFs)** are a great way to inject speed into our Elixir/Erlang programs. NIFs are programs implemented in compiled languages like Rust or C/C++ that are then linked and loaded into our Elixir module at runtime.

NIFs were designed to be a simpler and more efficient way of interfacing with native code than ports. Ports interact with external programs and offer a mechanism for implementing program features in a different language.

NIFs are often used in places where Elixir/Erlang alone isn’t enough to efficiently get the job done. For example, the Matrex library uses NIFs to perform fast matrix operations because Elixir/Erlang isn’t optimized to perform these operations alone.

Learn about NIFS and how it can be implemented and integrated into our defined framework.

Improving Performance with NIFs

Introduction

Writing Your First Genetic Algorithm

Breaking Down Genetic Algorithms

Encoding Problems and Solutions

Evaluating Solutions and Populations

Selecting the Best

Generating New Solutions

Preventing Premature Convergence

Replacing and Transitioning

Tracking Genetic Algorithms

Visualizing the Results

Optimizing Your Algorithms

Writing Tests and Code Quality

Moving Forward

Improving Performance with NIFs

What are NIFS?