A parallel genetic algorithm for Roger Alsing’s EvoLisa problem (triangles)

Genetic algorithms can solve a multitude of optimization problems by the digital modeling of natural selection, mutation and recombination. This algorithm attempts to draw a faithful representation of the Mona Lisa using only a few triangles. It is implemented in C++ and OpenGL and takes less than 400 lines of code. It is also a parallel implementation of a genetic algorithm, therefore it uses multiple CPU cores. The entire code is available for download below.

Code and details for this project are available here:
http://cg.tuwien.ac.at/~zsolnai/gfx/mona_lisa_parallel_genetic_algorithm/

Roger Alsing’s original work:

Genetic Programming: Evolution of Mona Lisa

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