Description: Genetic Algorithm (Genetic Algorithm) is a class learn the laws of evolution of the biosphere (survival of the fittest, survival of the fittest genetic mechanism) evolved random search method. By U.S. J.Holland Professor in 1975 first proposed, whose main characteristic is to operate directly on the structure of the object, there is no derivation and limited function continuity internal implicit parallelism and better global optimization capability using a probability optimization methods can automatically access and guidance to optimize search space adaptively adjust the search direction, the rules do not need to be determined. These properties of the genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life. It is a key technology in the modern about intelligent computing.
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