This slide displays my experience with genetic algorithm research. Everyone can enjoy it! *Don't forget to download the slide to be able to watch the clips!

1. Project Overview
WHG AI
|
Programming course R”Z
|
Gai Hefetz

2. Description
 In this project we used a version of the project “Worlds Hardest Game” made
by “kreichek” as a game to solve
 The AI is supposed to be generic and solve a level with as little human help
as possible

3. Project goals
 Add Artificial Intelligence support to the game “worlds hardest game”
 Prove difficult levels solvable
 Provide a tool for humans that shows the solutions to the various
levels
 Research Genetic Algorithms
 Learn Python programming language

4. Inspiration
I got the inspiration for the project from a Youtube video made by “Code Bullet”.
Similarities:
 “Code Bullet’s” algorithm and my algorithm are both Pure Genetic Algorithms.
Differences:
 “Code Bullet’s” game and algorithm are written in JavaScript
Whilst the project I expended and my Genetic Algorithm are written in Python

5. Technology
 The Genetic Algorithm and the game are implemented using
Python programming language.
 The game uses the PyGame engine

6. schedule
 Week 8-9, Course of study selection and sub-trend.
 Week 10-12, Mini-project: Deciphering a string with a genetic
algorithm while learning the subject
 Week 13-14, Choosing a topic for the final project
 Week 14-18, “AI worlds hardest game“

7. Results
In order to test the performance of the AI, I let fellow students
battle it through the different levels.
AI Sagi Shalom AMIT Elad
1
LEVEL
2
LEVEL
* 3
LEVEL
4
LEVEL
5
LEVEL
Nice Try
*

8. The Battle
 Right corner:
Sagi
Left corner:
WHG AI

9. WHG AI Sagi

10. All of the levels solved by the AI!

11. Thank you!