engleski

MODIFIED LESLIE‐LEFKOVITCH‐GENETIC ALGORITHM HYBRID MODELS SYSTEM OF MOSQUITO POPULATION DYNAMIC

Fluctuations in size and changes in age structure of mosquito populations during the year are important parameters necessary for planning and implementation of mosquito control measures. Additionally, mosquito population dynamic is an exceptionally interesting academic question due to its periodic chaos system and susceptibility to Allee‐effect. It is those characteristics that make mosquito population dynamic difficult to predict using the usual methods. Until now, discrete Leslie‐Lefkovitch matrix models (MLL) showed the best results in mosquito population dynamic modelling. To improve result prediction properties of larvicides and adulticides, and to contribute to the development of computer support to the deciding system, program modules based on genetic algorithms were added to the existing models. This hybrid system was used to make a series of predictions whic h were compared to the predictions made by simple MLL‐system. Hybrid system, aside from improving prediction of treatment results, showed new applicable model properties which significantly contribute to computer management of mosquito control.

mosquitoes; genetic algorithm; MLL; predictions

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