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dc.contributor.authorSeck Tuoh Mora, Juan Carloses
dc.date.accessioned2015-07-09T17:27:59Z
dc.date.available2015-07-09T17:27:59Z
dc.date.issued2015es
dc.identifier.citationMario Martínez Molina, Marco A. Moreno-Armendáriz, Juan Carlos Seck Tuoh Moraes
dc.identifier.urihttps://repository.uaeh.edu.mx/bitstream/handle/123456789/16027
dc.description.abstractA lattice prey?predator model is studied. Transition rules applied sequentially describe processes such as reproduction, predation, and death of predators. The movement of predators is governed by a local particle swarm optimization algorithm, which causes the formation of swarms of predators that propagate through the lattice. Starting with a single predator in a lattice fully covered by preys, we observe a wavefront of predators invading the zones dominated by preys; subsequent fronts arise during the transient phase, where a monotonic approach to a fixed point is present. After the transient phase the system enters an oscillatory regime, where the amplitude of oscillations appears to be bounded but is difficult to predict. We observe qualitative similar behavior even for larger lattices. An empirical approach is used to determine the effects of the movement of predators on the temporal dynamics of the system. Our results show that the algorithm used to model the movement of predators increases the proficiency of predators.es
dc.languageeses
dc.subjectAutomatización y Optimización de Sistemas Industriales Autómatas Celulareses
dc.titleAnalyzing the spatial dynamics of a prey predator lattice model with social behaviores
dc.typeArticlees


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