Biological plausibility in optimisation: an ecosystemic view

@article{Parpinelli2012BiologicalPI,
  title={Biological plausibility in optimisation: an ecosystemic view},
  author={Rafael S. Parpinelli and Heitor Silv{\'e}rio Lopes},
  journal={IJBIC},
  year={2012},
  volume={4},
  pages={345-358}
}
  • Rafael S. Parpinelli, Heitor Silvério Lopes
  • Published in IJBIC 2012
  • Computer Science
  • The search for biologically plausible ideas, models and computational paradigms always drew the interest of computer scientists, particularly those from the natural computing area. Also, the concept of optimisation can be abstracted from several natural processes, for instance, in the evolution of species, in the behaviour of social groups, in the dynamics of the immune system, in the food search strategies and in the ecological relationships of different animal populations. Hence, this work… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-7 OF 7 CITATIONS

    A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization

    VIEW 2 EXCERPTS
    CITES BACKGROUND

    A Heterogeneous Parallel Ecologically-Inspired Approach Applied to the 3D-AB Off-Lattice Protein Structure Prediction Problem

    VIEW 2 EXCERPTS
    CITES METHODS & BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 58 REFERENCES

    Parallelism and evolutionary algorithms

    VIEW 13 EXCERPTS
    HIGHLY INFLUENTIAL

    An eco-inspired evolutionary algorithm applied to numerical optimization

    VIEW 4 EXCERPTS

    Recent Advances in Artificial Immune Systems: Models and Applications

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Swarm Intelligence - From Natural to Artificial Systems

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL