Optimization of Population Density Model of Olive Fly (Bactrocera oleae) by Evolutionary Algorithms
Hongfei Gong, Agostinho Rosa, Rui Tavares, Jorge Silva, Vitor Dias
2006 Agent-Directed Simulation (ADS 2006)
Huntsville, AL, USA, April 2-6 2005
Abstract
In this paper we present an Evolutionary Algorithm optimized model for the population density of the olive fly Bactrocera oleae (Gmelin). Optimization is guided by simulation error of the adult fly population number compared to field captures over one year of climatic data. The optimization targets the model parameters and functions. Tests were made with several combinations of evolutionary algorithm strategy parameters. Furthermore, as an added benefit, the model can be adapted to insect subspecies in other regions not initially considered. The model’s potential development, uses and extensions are also discussed.