Parameter optimization method in wood gasification process based on parallel selection algorithm

In this paper, a new multi-objective optimization model of wood biomass gasification process has been established based on the research of literature, and used the parallel selection genetic algorithm as optimization method to optimize the parameters of wood gasification process. The calculation result shows that parameters optimization target value is very close to the experimental value when the performance indicators reach maximum and optimization results used method of parallel selection genetic algorithm is better than ideal point method of literature. Thus it is proved that this method is feasible and effective for parameter optimization of wood biomass gasification process, providing reference for biomass of this type gasification process optimization.