Simple Population Genetics Simulator

ProcJam 2018 Entry

Simulate basic population genetics on fake creatures' DNA. Concepts of mutation, crossover, fitness distribution covered. 

Try it Out Here - https://barrettotte.github.io/ProcJam-2018/WebGL/index.html

Links:

•  Procedural Generation Jam 2018 - https://itch.io/jam/procjam 
• WebGL Build - Try it Out Here - https://barrettotte.github.io/ProcJam-2018/WebGL/index.html 
• Main Repository - https://github.com/barrettotte/ProcJam-2018
• This idea was prototyped in Python first, https://github.com/barrettotte/Population-Genetics-Sim 

Summary:

• This script will simulate a generation of "creatures" generation after generation. 
•  Each creature has one allele in their "DNA" for color and is passed to offspring based on fundamentals of genetics (crossover, mutation). 
• Depending on how close the creature's color allele is to the ideal allele, it is given a fitness value which affects its chances of reproducing with another creature. 

Process:

• Initialize - Population N random DNA
• Selection - Evaluate fitness, generate mating pool
• Reproduction - Repeat N times, pick parents based on "weighted random" of mating rate 
• Crossover - Combine DNA through some crossover method 
• Mutation - Mutate child based on mutation rate 
• Add child to new generation 
• Discard old population 
• Repeat 

Additional Process:

•  A percentage of "Top" fitness organisms will asexually reproduce to keep their ideal DNA in the mating pool.
• There is a small chance a random organism will asexually reproduce