@article{ART002757861},
author={LeeTaeWoo and Soo Kyun Kim and Yoonsik Shim},
title={Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={9},
pages={27-35},
doi={10.9708/jksci.2021.26.09.027}
TY - JOUR
AU - LeeTaeWoo
AU - Soo Kyun Kim
AU - Yoonsik Shim
TI - Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 9
PB - The Korean Society Of Computer And Information
SP - 27
EP - 35
SN - 1598-849X
AB - Artificial life is used in various fields of applied science by evaluating natural life-related systems, their processes, and evolution. Research has been actively conducted to evolve physical body design and behavioral control strategies for the dynamic activities of these artificial life forms. However, since co-evolution of shapes and neural networks is difficult, artificial life with optimized movements has only one movement in one form and most do not consider the environmental conditions around it. In this paper, artificial life that co-evolve bodies and neural networks using predator-prey models have environmental adaptive movements. The predator-prey hierarchy is then extended to the top-level predator, medium predator, prey three stages to determine the stability of the simulation according to initial population density and correlate between body evolution and population dynamics.
KW - Artificial Life;Predator-Prey;Artificial Neural Network;Simulation;Genetic Algorithm
DO - 10.9708/jksci.2021.26.09.027
ER -
LeeTaeWoo, Soo Kyun Kim and Yoonsik Shim. (2021). Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network. Journal of The Korea Society of Computer and Information, 26(9), 27-35.
LeeTaeWoo, Soo Kyun Kim and Yoonsik Shim. 2021, "Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network", Journal of The Korea Society of Computer and Information, vol.26, no.9 pp.27-35. Available from: doi:10.9708/jksci.2021.26.09.027
LeeTaeWoo, Soo Kyun Kim, Yoonsik Shim "Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network" Journal of The Korea Society of Computer and Information 26.9 pp.27-35 (2021) : 27.
LeeTaeWoo, Soo Kyun Kim, Yoonsik Shim. Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network. 2021; 26(9), 27-35. Available from: doi:10.9708/jksci.2021.26.09.027
LeeTaeWoo, Soo Kyun Kim and Yoonsik Shim. "Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network" Journal of The Korea Society of Computer and Information 26, no.9 (2021) : 27-35.doi: 10.9708/jksci.2021.26.09.027
LeeTaeWoo; Soo Kyun Kim; Yoonsik Shim. Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network. Journal of The Korea Society of Computer and Information, 26(9), 27-35. doi: 10.9708/jksci.2021.26.09.027
LeeTaeWoo; Soo Kyun Kim; Yoonsik Shim. Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network. Journal of The Korea Society of Computer and Information. 2021; 26(9) 27-35. doi: 10.9708/jksci.2021.26.09.027
LeeTaeWoo, Soo Kyun Kim, Yoonsik Shim. Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network. 2021; 26(9), 27-35. Available from: doi:10.9708/jksci.2021.26.09.027
LeeTaeWoo, Soo Kyun Kim and Yoonsik Shim. "Simulation of Sustainable Co-evolving Predator-Prey System Controlled by Neural Network" Journal of The Korea Society of Computer and Information 26, no.9 (2021) : 27-35.doi: 10.9708/jksci.2021.26.09.027