2021-04-122010-01-019781424467419SCOPUS;2-s2.0-79952095740http://hdl.handle.net/10784/27888This paper presents the parameter estimation of a biological system with real data extracted from literature, and different model structures: Lotka-Volterra model (basic predator-prey model) and saturation predator-prey model. A third model is proposed and tested in simulation due to lack of appropriated real data; it includes inputs that excite the system and makes the estimation process more manageable. The model parameters were estimated using a genetic algorithm, which gives a combination of parameters used in simulation to compare outputs with real data and decide, using a cost function, which parameters are better. Comparing the models, the Lotka-Volterra model provides better adjustment but with unrealistic assumptions, while saturation model represents a system with real assumptions but the fit is not very high. ©2010 IEEE.enginfo:eu-repo/semantics/conferencePaperEstimation processLotka-Volterra modelsModel parametersPredator-prey modelPredator-prey modelsSaturation modelBiological systemsComputer simulationEcologyGenetic algorithmsMammalsMathematical modelsMetal analysisModel structuresParameter estimation2021-04-12Restrepo, J.G.Sánchez, C.M.V.10.1109/ANDESCON.2010.5633365