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On solving optical problems by Genetic Algorithm

Genetic Algorithm uses principles of evolution of organisms in nature to solve optimization problems. It is called 'genetic' because its operators are based on simplified concepts of population genetics. Evolution in the context of the numerical methods is represented by the evolution of artificial organisms whose genotypes encode possible solutions to the problem.