Simulation of a Marine Ecosystem Using Swarm Intelligence

Dokyung Lee

doi:doi:10.11648/j.ijsdr.20210704.11

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Simulation of a Marine Ecosystem Using Swarm Intelligence

Dokyung Lee

Published in International Journal of Sustainable Development Research (Volume 7, Issue 4)

Received: 31 August 2021 Accepted: 30 September 2021 Published: 19 October 2021

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Abstract

The coexistence of multiple species and their interactions have been a topic of interest for hundreds of years. Humans have been taking advantage of species to maximize surplus or control our environment. Nowadays with the growing complexity of our effect on the Earth, it has become more difficult than ever to understand and plan how we are to use our environment. In this paper we attempt to simulate a marine ecosystem and investigate the factors Based on the boids algorithm and the population growth equation that are important for a sustainable system. This simulation will help us understand how marine populations grow and reach an equilibrium, how sudden spurts in one species affect the others and how even in the most devastating scenarios nature exhibits its incredible ability to replenish itself. We observed some interesting emergent behaviors and how the two species interacted with each other. Then with the use of such simulations, we plotted a population graph by collecting data of the number of sharks and fishes for each frame, and an equilibrium was created. As long as the predator relies on the prey, this equilibrium may have its ups and downs but will always stay in a stable range. This however becomes a different story when humans interfere with the food chain.

Published in	International Journal of Sustainable Development Research (Volume 7, Issue 4)
DOI	10.11648/j.ijsdr.20210704.11
Page(s)	71-75
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Ecosystem, Swarm, Intelligence, Simulation, Boids Algorithm

References

[1]	Reynolds, C. W. (1987). Flocks, herds and schools: A distributed behavioral model. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques (pp. 25-34).
[2]	Boids (Flocks, Herds, and Schools: a Distributed Behavioral Model). (1995). Reynolds Engineering & Design.
[3]	M. (2021). Marine Ecology. MarineBio Cons ervation Society.
[4]	Scripps Oceanography. (2020). Why Are Marine Protected Areas Important? YouTube.
[5]	Malkevitch, J. (2013). Sustainability. American Mathematical Society.
[6]	Anand Nayyar (2018). Advances in Swarm Intelligence for Optimizing Problems in Computer Science.
[7]	James Kennedy (2006), Handbook of Nature-Inspired and Innovative Computing pp 187-219.
[8]	Marco Dorigo (2016), 10th International Conference, ANTS 2016, Brussels, Belgium.
[9]	Gerardo Beni (2020), Complex Social and Behavioral Systems.
[10]	R. S. Parpinelli (2011), New inspirations in swarm intelligence: a survey.

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APA Style

Dokyung Lee. (2021). Simulation of a Marine Ecosystem Using Swarm Intelligence. International Journal of Sustainable Development Research, 7(4), 71-75. https://doi.org/10.11648/j.ijsdr.20210704.11

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ACS Style

Dokyung Lee. Simulation of a Marine Ecosystem Using Swarm Intelligence. Int. J. Sustain. Dev. Res. 2021, 7(4), 71-75. doi: 10.11648/j.ijsdr.20210704.11

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AMA Style

Dokyung Lee. Simulation of a Marine Ecosystem Using Swarm Intelligence. Int J Sustain Dev Res. 2021;7(4):71-75. doi: 10.11648/j.ijsdr.20210704.11

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@article{10.11648/j.ijsdr.20210704.11,
  author = {Dokyung Lee},
  title = {Simulation of a Marine Ecosystem Using Swarm Intelligence},
  journal = {International Journal of Sustainable Development Research},
  volume = {7},
  number = {4},
  pages = {71-75},
  doi = {10.11648/j.ijsdr.20210704.11},
  url = {https://doi.org/10.11648/j.ijsdr.20210704.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20210704.11},
  abstract = {The coexistence of multiple species and their interactions have been a topic of interest for hundreds of years. Humans have been taking advantage of species to maximize surplus or control our environment. Nowadays with the growing complexity of our effect on the Earth, it has become more difficult than ever to understand and plan how we are to use our environment. In this paper we attempt to simulate a marine ecosystem and investigate the factors Based on the boids algorithm and the population growth equation that are important for a sustainable system. This simulation will help us understand how marine populations grow and reach an equilibrium, how sudden spurts in one species affect the others and how even in the most devastating scenarios nature exhibits its incredible ability to replenish itself. We observed some interesting emergent behaviors and how the two species interacted with each other. Then with the use of such simulations, we plotted a population graph by collecting data of the number of sharks and fishes for each frame, and an equilibrium was created. As long as the predator relies on the prey, this equilibrium may have its ups and downs but will always stay in a stable range. This however becomes a different story when humans interfere with the food chain.},
 year = {2021}
}

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TY  - JOUR
T1  - Simulation of a Marine Ecosystem Using Swarm Intelligence
AU  - Dokyung Lee
Y1  - 2021/10/19
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsdr.20210704.11
DO  - 10.11648/j.ijsdr.20210704.11
T2  - International Journal of Sustainable Development Research
JF  - International Journal of Sustainable Development Research
JO  - International Journal of Sustainable Development Research
SP  - 71
EP  - 75
PB  - Science Publishing Group
SN  - 2575-1832
UR  - https://doi.org/10.11648/j.ijsdr.20210704.11
AB  - The coexistence of multiple species and their interactions have been a topic of interest for hundreds of years. Humans have been taking advantage of species to maximize surplus or control our environment. Nowadays with the growing complexity of our effect on the Earth, it has become more difficult than ever to understand and plan how we are to use our environment. In this paper we attempt to simulate a marine ecosystem and investigate the factors Based on the boids algorithm and the population growth equation that are important for a sustainable system. This simulation will help us understand how marine populations grow and reach an equilibrium, how sudden spurts in one species affect the others and how even in the most devastating scenarios nature exhibits its incredible ability to replenish itself. We observed some interesting emergent behaviors and how the two species interacted with each other. Then with the use of such simulations, we plotted a population graph by collecting data of the number of sharks and fishes for each frame, and an equilibrium was created. As long as the predator relies on the prey, this equilibrium may have its ups and downs but will always stay in a stable range. This however becomes a different story when humans interfere with the food chain.
VL  - 7
IS  - 4
ER  -

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Author Information

Dokyung Lee

Taejon Christian International School, Daejeon, Republic of Korea

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Plain Text BibTeX RIS

APA Style

Dokyung Lee. (2021). Simulation of a Marine Ecosystem Using Swarm Intelligence. International Journal of Sustainable Development Research, 7(4), 71-75. https://doi.org/10.11648/j.ijsdr.20210704.11

Copy | Download

ACS Style

Dokyung Lee. Simulation of a Marine Ecosystem Using Swarm Intelligence. Int. J. Sustain. Dev. Res. 2021, 7(4), 71-75. doi: 10.11648/j.ijsdr.20210704.11

Copy | Download

AMA Style

Dokyung Lee. Simulation of a Marine Ecosystem Using Swarm Intelligence. Int J Sustain Dev Res. 2021;7(4):71-75. doi: 10.11648/j.ijsdr.20210704.11

Copy | Download

@article{10.11648/j.ijsdr.20210704.11,
  author = {Dokyung Lee},
  title = {Simulation of a Marine Ecosystem Using Swarm Intelligence},
  journal = {International Journal of Sustainable Development Research},
  volume = {7},
  number = {4},
  pages = {71-75},
  doi = {10.11648/j.ijsdr.20210704.11},
  url = {https://doi.org/10.11648/j.ijsdr.20210704.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20210704.11},
  abstract = {The coexistence of multiple species and their interactions have been a topic of interest for hundreds of years. Humans have been taking advantage of species to maximize surplus or control our environment. Nowadays with the growing complexity of our effect on the Earth, it has become more difficult than ever to understand and plan how we are to use our environment. In this paper we attempt to simulate a marine ecosystem and investigate the factors Based on the boids algorithm and the population growth equation that are important for a sustainable system. This simulation will help us understand how marine populations grow and reach an equilibrium, how sudden spurts in one species affect the others and how even in the most devastating scenarios nature exhibits its incredible ability to replenish itself. We observed some interesting emergent behaviors and how the two species interacted with each other. Then with the use of such simulations, we plotted a population graph by collecting data of the number of sharks and fishes for each frame, and an equilibrium was created. As long as the predator relies on the prey, this equilibrium may have its ups and downs but will always stay in a stable range. This however becomes a different story when humans interfere with the food chain.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Simulation of a Marine Ecosystem Using Swarm Intelligence
AU  - Dokyung Lee
Y1  - 2021/10/19
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsdr.20210704.11
DO  - 10.11648/j.ijsdr.20210704.11
T2  - International Journal of Sustainable Development Research
JF  - International Journal of Sustainable Development Research
JO  - International Journal of Sustainable Development Research
SP  - 71
EP  - 75
PB  - Science Publishing Group
SN  - 2575-1832
UR  - https://doi.org/10.11648/j.ijsdr.20210704.11
AB  - The coexistence of multiple species and their interactions have been a topic of interest for hundreds of years. Humans have been taking advantage of species to maximize surplus or control our environment. Nowadays with the growing complexity of our effect on the Earth, it has become more difficult than ever to understand and plan how we are to use our environment. In this paper we attempt to simulate a marine ecosystem and investigate the factors Based on the boids algorithm and the population growth equation that are important for a sustainable system. This simulation will help us understand how marine populations grow and reach an equilibrium, how sudden spurts in one species affect the others and how even in the most devastating scenarios nature exhibits its incredible ability to replenish itself. We observed some interesting emergent behaviors and how the two species interacted with each other. Then with the use of such simulations, we plotted a population graph by collecting data of the number of sharks and fishes for each frame, and an equilibrium was created. As long as the predator relies on the prey, this equilibrium may have its ups and downs but will always stay in a stable range. This however becomes a different story when humans interfere with the food chain.
VL  - 7
IS  - 4
ER  -

Copy | Download