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...

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Veröffentlicht in:Journal of theoretical biology 2013-11, Vol.336, p.173-184
Hauptverfasser: Molina, Mario Martínez, Moreno-Armendáriz, Marco A., Carlos Seck Tuoh Mora, Juan
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creator Molina, Mario Martínez
Moreno-Armendáriz, Marco A.
Carlos Seck Tuoh Mora, Juan
description 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. •We developed a lattice model of a predator–prey system where predators move using a Particle Swarm Optimization algorithm.•We give a qualitative analysis of the spatial and temporal dynamics of the proposed model.•It is found that the size of the clusters formed by predators increases as the social component of the movement is increased.•It is found that as the mobility of predators increases the system enters into an oscillatory regime.
doi_str_mv 10.1016/j.jtbi.2013.07.015
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subjects Algorithms
Animal Migration
Animals
Biological Sciences
Cellular automata
ecosystems
Interpersonal Relations
Models, Biological
Particle swarm optimization
Population Dynamics
predators
Predatory Behavior - physiology
Prey–predator
Swarm intelligence
swarms
title On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization
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