Modeling prey-predator dynamics via particle swarm optimization and cellular automata

  • Authors:

  • Mario Martínez-Molina;Marco A. Moreno-Armendáriz;Nareli Cruz-Cortés;Juan Carlos Seck Tuoh Mora

  • Affiliations:

  • Centro de Investigación en Computación, Instituto Politécnico Nacional, México, D.F., México;Centro de Investigación en Computación, Instituto Politécnico Nacional, México, D.F., México;Centro de Investigación en Computación, Instituto Politécnico Nacional, México, D.F., México;Centro de Investigación Avanzada en Ingeniería Industrial, Universidad Autónoma del Estado de Hidalgo, Pachuca, Hidalgo, México

  • Venue:
  • MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
  • Year:
  • 2011

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Abstract

Through the years several methods have been used to model organisms movement within an ecosystem modelled with cellular automata, from simple algorithms that change cells state according to some pre-defined heuristic, to diffusion algorithms based on the one dimensional Navier - Stokes equation or lattice gases. In this work we show a novel idea since the predator dynamics evolve through Particle Swarm Optimization.