Coding Challenge #29: Smart Rockets in p5.js

Channel:
United States The Coding Train
Subscribers:
1,750,000
Published on ● Video Link: https://www.youtube.com/watch?v=bGz7mv2vD6g


Duration: 48:17
395,060 views
6,011

In this coding challenge, I implement a "smart rockets" algorithm (based on a simulation by Jer Thorp). Code: https://thecodingtrain.com/challenges/29-smart-rockets-in-p5js

🕹ī¸ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/o5PwECj42

đŸŽĨ Previous video: https://youtu.be/ccYLb7cLB1I?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ Next video: https://youtu.be/KWoJgHFYWxY?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ All videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH

Videos:
đŸŽĨ My Genetic Algorithm playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV
🔴 Livestream Archive: https://youtu.be/A01_aKgIeCo

Related Coding Challenges:
🚂 #69 Evolutionary Steering Behaviors: https://youtu.be/flxOkx0yLrY
🚂 #100 Neuroevolution Flappy Bird: https://youtu.be/c6y21FkaUqw
🚂 #147 Chrome Dinosaur Game: https://youtu.be/l0HoJHc-63Q

Timestamps:
0:00 Introduction
3:10 Rocket object
7:07 Population object
10:48 DNA object
15:09 Add target
17:24 Evaluate function
19:35 Mating pool
23:26 Selection function
25:36 Crossover function
33:56 Is the genetic algorithm working?
35:50 Check if rocket has reached target
38:05 Mutation function
40:17 Add obstacle
43:34 Check if rocket hits canvas edges
46:55 Conclusion and possible improvements

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

🚂 Website: http://thecodingtrain.com/
👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide
🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box
💡 GitHub: https://github.com/CodingTrain
đŸ’Ŧ Discord: https://discord.gg/hPuGy2g
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: https://standard.tv/codingtrain
🖋ī¸ Twitter: https://twitter.com/thecodingtrain
📸 Instagram: https://www.instagram.com/the.coding.train/

đŸŽĨ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct

This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new

#geneticalgorithm #dna #evolutionaryalgorithm #p5js #javascript



Other Videos By The Coding Train


2016-08-119.10: Genetic Algorithm: Continuous Evolutionary System - The Nature of Code
2016-08-10Coding Challenge #31: Flappy Bird
2016-08-099.9: Genetic Algorithm: Interactive Selection - The Nature of Code
2016-08-089.17: Arguments Array in JavaScript - p5.js Tutorial
2016-08-05Live Stream #56: Poisson Disc Sampling and Diffusion-Limited Aggregation
2016-08-059.6: Genetic Algorithm: Improved Fitness Function - The Nature of Code
2016-08-059.7: Genetic Algorithm: Pool Selection - The Nature of Code
2016-08-04Live Stream #55 - Flappy Bird and Agar.io Clones
2016-08-03Coding Challenge #30: Phyllotaxis
2016-08-039.16: CodePen in p5.js - p5.js Tutorial
2016-08-02Coding Challenge #29: Smart Rockets in p5.js
2016-08-019.5: Genetic Algorithm: Fitness, Genotype vs Phenotype - The Nature of Code
2016-07-31Live Stream #53 - Smart Rockets, CodePen and Arguments Array in JS
2016-07-319.4: Genetic Algorithm: Looking at Code - The Nature of Code
2016-07-309.3: Genetic Algorithm: Shakespeare Monkey Example - The Nature of Code
2016-07-299.2: Genetic Algorithm: How it works - The Nature of Code
2016-07-299.1: Genetic Algorithm: Introduction - The Nature of Code
2016-07-27Live Stream #54 - Phyllotaxis and More on Genetic Algorithms
2016-07-25Coding Train Live 52: Genetic Algorithms
2016-07-2111.10: Computer Vision: Adding Lifespan to Blobs - Processing Tutorial
2016-07-2011.9: Computer Vision: Blob Tracking with Persistence - Processing Tutorial


Tags:
challenge
coding
rockets
code
smart
p5.js
javascript
coding challenge
object oriented programming
oop
object oriented
programming challenge
creative coding
daniel shiffman
p5js
nature of code
genetic
genetic algorithm
genetic algorithms
the nature of code
evolution
algorithm
genotype
phenotype
genotype vs phenotype
dna
darwin
evolutionary
evolutionary computing
survival of the fitest
evolutionary algorithm