A species compete-die out (SCD) algorithm model for improving the performances of evolutionary computation in greenhouse

Precision agriculture and quality one have gained attentions in modern research of agriculture due to the importance of crops to human being. Owing to the fact that there are many uncertain factors for crop systems, the research of crops in greenhouses plays a role in this regard and evolution algorithms are paid attention to. This paper aims at introducing a new model with respect to species compete-die out algorithms (SCD) for evolutionary computation. It can be used to release the limitation of evolutionary computation of premature convergence so as to optimize the parameters of the dry matter production and distribution simulation models of cucumber in glasshouse. The testing results based on the present model are compared to that based on the simple evolutionary algorithms under the same situations, exhibiting that it has advantages in stability and astringency.