Application of a Genetic Simulated Annealing Algorithm in the Greenhouse System

When ventilation rate was predetermined,the conventional dynamic microclimate system of greenhouse can be regarded as a two-order time-delay model controlled by heating instruments.By this model,a PID parameter optimization method is proposed based on the genetic simulated annealing algorithm.Compared with the PID parameter optimization method using the genetic algorithm,the proposed method,which inherits the advantages of the genetic algorithm and the simulated annealing algorithm,can overcome some disadvantages such as premature convergence,weak local searching ability and low computing efficiency.At last,a simulation example is provided to illustrate the effectiveness of the proposed method,which can be expected to have a preferable application future.