HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation

@article{Ptracu2014HELGAAH,
  title={HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation},
  author={Monica Pătrașcu and Alexandra Florentina Stancu and Florin Pop},
  journal={Soft Computing},
  year={2014},
  volume={18},
  pages={2565-2576}
}
Today, there is a substantial need for population evolution modeling in multidisciplinary research areas, such as social sciences (sociology, anthropology etc.), which can neither be solved formally, nor empirically at global scale, thus requiring the development of heuristic techniques, like evolutionary algorithms. Therefore, existent methodologies of social simulation can be extended from microenvironments to large scale modeling of extremely complex systems, as it is the case of human… 

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