Genetic algorithms are search techniques in computer science to find approximate solutions to optimization and search problems. Genetic algorithm is a special class of evolutionary algorithms using techniques inspired by evolutionary biology such as inheritance, mutation, natural selection and recombination (or crossover)
Genetic algorithm is a heuristic search algorithm based on the mechanism of biological evolution.
The diversity of biological evolution is a variation of the chromosomes of individual organisms. Kromsom variations will affect the reproductive rate and level of ability to stay alive oraginisme.
Genetic algorithms was first developed by John Holland in the 1970s in New York, United States. He and his students and coworkers produced a book titled "adaption in Natural and Artificial Systems" in 1975.
Genetic algorithms applied especially as computer simulations where a population of abstract representations (called chromosomes) of candidate solutions (called individuals) to an optimization problem will develop into solutions better.
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