dc.contributor.author | Seck Tuoh Mora, Juan Carlos | en_US |
dc.date.accessioned | 2013-11-04T22:00:49Z | |
dc.date.available | 2013-11-04T22:00:49Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | Martínez, M. Moreno, M.A. Cruz, N. Seck Tuoh, J.C. | es |
dc.identifier.uri | https://repository.uaeh.edu.mx/bitstream/handle/123456789/8007 | |
dc.description.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. | es |
dc.language | es | en_US |
dc.subject | Automatización y Optimización de Sistemas Industriales Autómatas Celulares | es |
dc.title | Modeling Prey-Predator Dynamics via Particle
Swarm Optimization and Cellular Automata | es |
dc.type | Article | en_US |