| Título |
Modeling Prey-Predator Dynamics via Particle Swarm Optimization and Cellular Automata |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 10th Mexican International Conference on Artificial Intelligence |
| Resumen |
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. |
| Observaciones |
Advances in Soft Computing, MICAI 2011; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 87491 ** Drive: Modeling-prey-predator_2011 |
| Lugar |
Puebla |
| País |
Mexico |
| No. de páginas |
189-200 |
| Vol. / Cap. |
7095 |
| Inicio |
2011-11-26 |
| Fin |
|
| ISBN/ISSN |
978-3-642-25329-4 |
