The GA In The DNA Computing Of The Research And Application

DNA computing is a new science, at present DNA computing is just in the beginning stages. DNA computing has become a highly development value of biological scienc(?) research in the forefront of the field. The basic principle of DNA computing:Firstly, the double helix structure of DNA molecules base pairing principles and complementary information coding, it is will have to deal with problems of a particular DNA molecule mapping footage. Secondly in under the action of biology, it is through the controllab(?) biochemical reactions generation solution space. Finally, using the various biologica technologies is tested and the results obtained operations.Genetic algorithm is a kind of modeling of biological evolution process an(?) mechanism of solving problems since organization, adaptive artificial intelligenc(?) technology; it is based on theory of evolutionary biology and genetic variation as base. Th(?) standard genetic algorithm deficiency:When need to solve the problem of the optimizatio(?) of the parameters variable is continuous variables, the use of traditional binary encodin(?) technology may result in length coding and it is difficult to reach the balance betwee(?) calculation accuracy; In the standard Genetic algorithm crossover operator and mutatio(?) operator is fixed, Will the genetic algorithm efficiency caused great negative impact; Th(?) standard genetic algorithm local search ability are relatively weak, it is easy to get into loca optimal solution.As in DNA computing of carrier DNA molecules carries the abundant geneti(?) information, it is can promote genetic algorithm better simulated biologic genetic regularity and gene regulation mechanism, to improve the performance of genetic algorithm. Present a build in DNA coding genetic model based on genetic algorithm is DNA-GA algorith(?) and in the algorithm of operation process of improved crossover operator and mutatio(?) operator, Makes DNA-GA algorithm can better solve various complex optimizatio(?) problems.The increasing complexities in problem today, for the control system request more an(?) more is also high. The new creatures put forward to control algorithm is used for the PIT controller parameters optimization system setting. Through the typical biological controlle parameters optimization setting simulation calculations and comparative study, it wa validate the proposed algorithm relative to the superiority of the standard genetic algorithm with effectiveness and get control parameters can better applied to control system.