1. a population consists of some amount of creatures and it lives into some environment for some amount of time periods, lets call them years.
2. the environment has a number permanently changing (each year) factors and some permanent capacity.
3. a creature:

• has age
• has some amount of chromosomes and they have different lengths
• has a fertility age after which it can reproduce a new creature (every year) with some probability. During the reproduction the random partner is selected form population and the new creature gets a random combination of the partners chromosomes. With some probability the chromosomes of a new creature can mutate: they change its length.
• with some probability it can die due to combination of 3 factor:
  • a. the compatibility to the changing factor of environment: it is determined as average of minimum distances between any of its chromosome and each changing environment factor
  • b. the factor that depends on population size and environment capacity (it is growing by exponential rule: low for small population and becoming much much bigger for population that bigger than the environment capacity)
  • c. the age factor: it is increasing each year on some value
• creatures on immortal population always has the death factor 'c' equal to zero

The simulation utility is written on golang and requires go v.23.1 or newer for building the binary.

go build

First review and change the settings into settings.yaml file. Then you may run the utility:

./genesis random

./genesis store   

./genesis stored  

The utility outputs the each yer simulation results. The simulation can be interrupted by pressing CTRL+C. When the simulation finished or interrupted it generates 2 sets svg images with diagrams for mortal and immortal populations.

The creation and storage of the random environment creates following svg images: the capacity factor and individual files for each the growing factor of environment. It is also creates or overwrites the env.csv file (file with stored environment). This file is used for simulation within the stored environment.