On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization.
A two-dimensional lattice model based on Cellular Automata theory and swarm intelligence is used to study the spatial and population dynamics of a theoretical ecosystem. It is found that the social interactions among predators provoke the formation of clusters, and that by increasing the mobility of predators the model enters into an oscillatory behavior.
Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan de Dios Batíz s/n Unidad Profesional Adolfo López Mateos, Col. Nueva Industrial Vallejo, Distrito Federal, 07738 México, Mexico. Electronic address: mmartinezm0201@ipn.mx.
Mario Martínez
MM
Molina
Marco A
MA
Moreno-Armendáriz
Juan
J
Carlos Seck Tuoh Mora
D000465:Algorithms; D025041:Animal Migration; D000818:Animals; D007398:Interpersonal Relations; D008954:Models, Biological; D011157:Population Dynamics; D011235:Predatory Behavior / Q000502:physiology*
Cellular automata; Particle swarm optimization; Prey–predator; Swarm intelligence