Simulation of natural selection stochastic processes and survival models based on real data found online
Consider a simulator for natural selection with the following simplified simulation model:
- All the individuals belong to S different species Let s be the index of each species, s=1...S
- The initial population of s is equal to P(s) The reproduction rate for each individual is lambda The theoretical lifetime LF(k) of individual k whose parent is d(k) is distributed according to the following distribution: LF(k)= uniform(LF(d(k),LF(d(k)*(1+alpha)) with probability prob_improve uniform(0,LF(d(k)) with probability 1-prob_improve, where prob_improve is the probability of improvement for a generation and alpha is the improvement factor (≥ 0).
- The individuals move randomly in a given region and when individuals of different species meet, they may fight and may not survive. In such a case, the actual lifetime of a individual may be lower than its theoretical lifetime.
- A died individual cannot reproduce.
🔗 PDF report attached
The following heatmap shows a general analysis of the correlation between all of the variables to evaluate which one influences the most another one.
Further analyses are conducted and explained in the PDF report. Clearer findings will be found running the code in the .py file.
