In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence speed,an improved stud genetic algorithm based on opposition is proposed.

Application of genetic algorithm in estimating kinetics model parameters for syn-thesis O,O-dimethylphosphorochloridothioate;

Optimum design of the horizontal section length in a horizontal well using genetic algorithm;

Gas production prediction based on genetic algorithm;

Application and the param-eter setting of ADRC based on genetic arithmetic;

The fuzzy clustering method based on genetic arithmetic;

The optimal design for multi-channels FRA pump with modified genetic arithmetic;

On this basis,the genetic algorithm(GA) was introduced by combining Elman neural network to predict the endpoint of converting furnace.

The generalized regression neural network(GRNN) and the genetic algorithm(GA) are regarded as the artificial intelligence techniques.

The ALS algorithm,based on the least-square method and genetic algorithm(GA),was proposed for autonomous learning and the construction of FBFN without any human intervention.

The Optimization of Injection Parameters Based on GA;

Application and realization of GA in machine accessory processing craftwork decision-making;

GA-based PID temperature control system for vacuum induction furnace;

Control optimization of copper flash smelting process based on genetic algorithms;

Slurry F-T synthesis neural network model and genetic algorithms optiaml;

Making a solution for generalized S-shaped increasing model by genetic algorithms;