It is a part of the Artificial intelligence, sub part of computation biology that draws its inspiration from natural evolution.
It works on algorithms for global optimization.
BIOLOGICAL EVOLUTION OF EVOLUTIONARY COMPUTING
In the field of biology, algorithms, statistics and computational sciences plays an important role in determining the probability of certain event in evolution during different time scales. It also helps in predicting the probability of occurrence of certain traits, events, genetic variations etc. It involves methods that put into practice biological evolution's mechanisms like reproduction, mutation, recombination, natural selection, and survival of the fittest.
Initialization, selection, genetic operators, and termination are the four main processes of an Evolutionary Algorithm. Each of these steps offers a simple technique to modularize this algorithm category's implementations, approximately corresponding to a different aspect of natural selection.
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