::: EVOLUTIONARY COMPUTATION SERIES : AS PROGRAMMING :::

I am currently working on EC (Evolutionary Computation) by generation of genetic algorithms. The image below represents a series of studios that firstly started for the creation of an interactive, reactive and evolutionary exhibition for a private client in Beijing China.

Genetic algorithms lie in the creation of selection by environment in both intrinsecal and extrinsecal data information, then generation of reproduction, or in this case modifying the new data, and eventually creating a new population. Computer simulations of evolution started in the mid 50´s with Nils Aall Barricelli and then, in late 50´s by an Australian geneticist Alex Fraser by using artificial selection. 

It is call a genetic algorithm to the one used in computing science to figure out approximate solutions to optimization for an evolutionary species. Some concepts that feature genetic algorithms are based in mutation, selection, inheritance and recombination.

Evolutionary computation on the other hand is a branch of artificial intelligence in computer science. It uses interactive procedures such as growth and development of population. Then this population could be selected either random or with specific basis data functions. All of these concepts are inspired by biological systems in a logic and evolutionary development.