Research on Algae Growth Mechanism Model Based on Genetic Algorithm in Lakes and Reservoirs

Abstract

According to further researches of algae blooms growth mechanism in lakes and reservoirs, an algae growth mathematical mechanism model was built. The data obtained from simulation of the algae blooms formation in sun room laboratory is treated as sample points, then using Genetic Algorithm to optimize and calibrate the parameters in the mechanism model, solved the nonlinear and random problem in the formation of algae blooms. Simulation results show that, this mechanism model can well simulate algae growth changing regularity in the formation of algae blooms, for optimization, the residual error becomes smaller, and the fitting precision improves dramatically.