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Sapiogenesis is a project designed to simulate the process of natural selection and evolution in physical bodies as well as neural networks through the process of random mutations and Reinforcement Learning. This allows simulated organisms to learn and make decisions based off past experiences.
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.
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.
A home made simulation of living cells with natural selection basics (intended to be implemented in a server and get acces to it from a client on a browser or an app)