Evolutionary algorithms for species distribution modelling: A review in the context of machine learning

@inproceedings{Gobeyn2019EvolutionaryAF,
  title={Evolutionary algorithms for species distribution modelling: A review in the context of machine learning},
  author={Sacha Gobeyn and Ans Mouton and Anna F. Cord and Andrea Kaim and Martin Volk and Peter Goethals},
  year={2019}
}
Scientists and decision-makers need tools that can assess which specific pressures lead to ecosystem deterioration, and which measures could reduce these pressures and/or limit their effects. In this context, species distribution models are tools that can be used to help asses these pressures. Evolutionary algorithms represent a collection of promising techniques, inspired by concepts observed in natural evolution, to support the development of species distribution models. They are suited to… CONTINUE READING
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