A fast and scalable tool for estimating and testing selection differences between populations
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Updated
Nov 3, 2021 - Java
A fast and scalable tool for estimating and testing selection differences between populations
Estimation of natural selection and allele age from time series allele frequency data using a novel likelihood-based approach
A simulation of natural selection
|| ENGLISH VERSION || it's a program make on processing . it simulate a population of cells living in an enviromnent with food cell . if you want use or modify this code for your own project (or if you want use the class graphics , button , slider or radio) you can do it only if you write i'm the creator of this code (physic gamer) || VERSION FR…
Inferring the timing and strength of natural selection and gene migration in the evolution of chickens from ancient DNA data
C++ & Python program that simulates the Natural Selection phenomenon, described by Charles Darwin in "The Origin of the Species".
R code and data to reproduce the analysis in Palacio & Ordano (2023) Evolution
Code and data for: James et al. ME (2023). Uncovering the genetic architecture of parallel evolution. Molecular Ecology.
Solving N-Queens Problem using Genetic Algorithms. Used the components of GAs, which include population initialization, mate selection, crossover, mutation and survivor selection.
Papaver experiment with drought and competition treatment (University of Frankfurt, Course: Evolutionary ecology of plants and global change)
An ecosystem simulator written in python with genes and a low-level brain.
A Simulation which illustrates natural selection through simple variables and mutations
Approximations for the Wright-Fisher model of population dynamics under natural selection at two linked loci
An easy implementation of the Genetic Algorithm for the Eight Queens Problem and some improvements to the basic design for faster convergence to a possible solution. The project also offers a short comparative study on the performance of the two versions of algorithms and possible reasons for the same.
Estimating temporally variable selection intensity from ancient DNA data
A Genetic Algorithm simulating flies in a maze finding the exit on their own using the laws of Natural Selection
An attempt at improving the Genetic Algorithm employed for solving the travelling salesman problem based on faster convergence and minimum path cost. A basic implementation of the Genetic Algorithm and a short comparative analysis on the performance of the naive and the improved version with possible reasons can also be found alongside.
Simulating evolution of behavioral traits with Python
A natural selection simulation showing adaptation using Genetic Algorithms (GAs).
Genetic Based Selection Forced Reinforcement Learning
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