A GRAPH-BASED MODEL FOR THE INFECTION PHENOMENON

Authors

  • Catalin Bulancea
  • Mitica Craus

DOI:

https://doi.org/10.47839/ijc.2.3.224

Keywords:

Artificial life, multi-agent system, message passing, graph model, leucocytes

Abstract

A graph-based model is proposed for studying interactions and evolution in infection process. There are defined and tested mutational and decisional structures for pathogen agents and a reaction mechanism for the host. MPI and C# implementations were used to make some simulations. The results have shown that artificial system evolution is closed to the evolution of the real system.

References

Y. Shi. and R. C. Eberhart, Parameter selection in particle swarm optimization, Evolutionary Programming VII: Proc. EP 98, Springer-Verlag, New York, 1998, pp. 591-600

J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975

D. Dumitrescu, Genetic Algorithms and Evolutive strategies, Microinformatica, Cluj-Napoca, 2002, p.53.

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Published

2014-08-01

How to Cite

Bulancea, C., & Craus, M. (2014). A GRAPH-BASED MODEL FOR THE INFECTION PHENOMENON. International Journal of Computing, 2(3), 21-25. https://doi.org/10.47839/ijc.2.3.224

Issue

2003, Volume 2, Issue 3

Section

Articles

License

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