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...
Gespeichert in:
Veröffentlicht in: | Journal of theoretical biology 2013-11, Vol.336, p.173-184 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 184 |
---|---|
container_issue | |
container_start_page | 173 |
container_title | Journal of theoretical biology |
container_volume | 336 |
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1443381284</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S002251931300338X</els_id><sourcerecordid>1443381284</sourcerecordid><originalsourceid>FETCH-LOGICAL-c446t-1d2eebde6fef333182eca435fd049c3bee48bf692bbe0ca964b69a15cdb4c82c3</originalsourceid><addsrcrecordid>eNp9kc9u1DAQhyMEokvhBTiAj1wS_C_ZROKCKlqQKvUAPVtje0K9cuJgO62WR-CpcdjCkZNH1je_Gc1XVa8ZbRhl3ftDc8jaNZwy0dB9Q1n7pNoxOrR130r2tNpRynndskGcVS9SOlBKBym659UZFwPf90Luql83M8l3SNIC2YEn9jjD5EwiMFsSknHeQw7xSDTewb0LkYSRAFki2u2_LsWRTMGiJxoSlp6ZGPR-9RAJrDlMkOFPmA-m5C8QszO-DHyAOJGwZDe5n2V2mF9Wz0bwCV89vufV7eWnbxef6-ubqy8XH69rI2WXa2Y5orbYjTgKIVjP0YAU7WipHIzQiLLXYzdwrZEaGDqpuwFYa6yWpudGnFfvTrlLDD9WTFlNLm07w4xhTYpJKUTPeC8Lyk-oiSGliKNaopsgHhWjanOgDmpzoDYHiu5VcVCa3jzmr3pC-6_l79EL8PYEjBAUfI8uqduvJaEtgkQnuqEQH04EljvcO4yqmMDZoHURTVY2uP9t8Bv3jKVN</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1443381284</pqid></control><display><type>article</type><title>On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Molina, Mario Martínez ; Moreno-Armendáriz, Marco A. ; Carlos Seck Tuoh Mora, Juan</creator><creatorcontrib>Molina, Mario Martínez ; Moreno-Armendáriz, Marco A. ; Carlos Seck Tuoh Mora, Juan</creatorcontrib><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.</description><identifier>ISSN: 0022-5193</identifier><identifier>EISSN: 1095-8541</identifier><identifier>DOI: 10.1016/j.jtbi.2013.07.015</identifier><identifier>PMID: 23927834</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>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</subject><ispartof>Journal of theoretical biology, 2013-11, Vol.336, p.173-184</ispartof><rights>2013 Elsevier Ltd</rights><rights>2013 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-1d2eebde6fef333182eca435fd049c3bee48bf692bbe0ca964b69a15cdb4c82c3</citedby><cites>FETCH-LOGICAL-c446t-1d2eebde6fef333182eca435fd049c3bee48bf692bbe0ca964b69a15cdb4c82c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S002251931300338X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23927834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Molina, Mario Martínez</creatorcontrib><creatorcontrib>Moreno-Armendáriz, Marco A.</creatorcontrib><creatorcontrib>Carlos Seck Tuoh Mora, Juan</creatorcontrib><title>On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization</title><title>Journal of theoretical biology</title><addtitle>J Theor Biol</addtitle><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.</description><subject>Algorithms</subject><subject>Animal Migration</subject><subject>Animals</subject><subject>Biological Sciences</subject><subject>Cellular automata</subject><subject>ecosystems</subject><subject>Interpersonal Relations</subject><subject>Models, Biological</subject><subject>Particle swarm optimization</subject><subject>Population Dynamics</subject><subject>predators</subject><subject>Predatory Behavior - physiology</subject><subject>Prey–predator</subject><subject>Swarm intelligence</subject><subject>swarms</subject><issn>0022-5193</issn><issn>1095-8541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc9u1DAQhyMEokvhBTiAj1wS_C_ZROKCKlqQKvUAPVtje0K9cuJgO62WR-CpcdjCkZNH1je_Gc1XVa8ZbRhl3ftDc8jaNZwy0dB9Q1n7pNoxOrR130r2tNpRynndskGcVS9SOlBKBym659UZFwPf90Luql83M8l3SNIC2YEn9jjD5EwiMFsSknHeQw7xSDTewb0LkYSRAFki2u2_LsWRTMGiJxoSlp6ZGPR-9RAJrDlMkOFPmA-m5C8QszO-DHyAOJGwZDe5n2V2mF9Wz0bwCV89vufV7eWnbxef6-ubqy8XH69rI2WXa2Y5orbYjTgKIVjP0YAU7WipHIzQiLLXYzdwrZEaGDqpuwFYa6yWpudGnFfvTrlLDD9WTFlNLm07w4xhTYpJKUTPeC8Lyk-oiSGliKNaopsgHhWjanOgDmpzoDYHiu5VcVCa3jzmr3pC-6_l79EL8PYEjBAUfI8uqduvJaEtgkQnuqEQH04EljvcO4yqmMDZoHURTVY2uP9t8Bv3jKVN</recordid><startdate>20131107</startdate><enddate>20131107</enddate><creator>Molina, Mario Martínez</creator><creator>Moreno-Armendáriz, Marco A.</creator><creator>Carlos Seck Tuoh Mora, Juan</creator><general>Elsevier Ltd</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20131107</creationdate><title>On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization</title><author>Molina, Mario Martínez ; Moreno-Armendáriz, Marco A. ; Carlos Seck Tuoh Mora, Juan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-1d2eebde6fef333182eca435fd049c3bee48bf692bbe0ca964b69a15cdb4c82c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Animal Migration</topic><topic>Animals</topic><topic>Biological Sciences</topic><topic>Cellular automata</topic><topic>ecosystems</topic><topic>Interpersonal Relations</topic><topic>Models, Biological</topic><topic>Particle swarm optimization</topic><topic>Population Dynamics</topic><topic>predators</topic><topic>Predatory Behavior - physiology</topic><topic>Prey–predator</topic><topic>Swarm intelligence</topic><topic>swarms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Molina, Mario Martínez</creatorcontrib><creatorcontrib>Moreno-Armendáriz, Marco A.</creatorcontrib><creatorcontrib>Carlos Seck Tuoh Mora, Juan</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of theoretical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Molina, Mario Martínez</au><au>Moreno-Armendáriz, Marco A.</au><au>Carlos Seck Tuoh Mora, Juan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization</atitle><jtitle>Journal of theoretical biology</jtitle><addtitle>J Theor Biol</addtitle><date>2013-11-07</date><risdate>2013</risdate><volume>336</volume><spage>173</spage><epage>184</epage><pages>173-184</pages><issn>0022-5193</issn><eissn>1095-8541</eissn><abstract>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.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>23927834</pmid><doi>10.1016/j.jtbi.2013.07.015</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-5193 |
ispartof | Journal of theoretical biology, 2013-11, Vol.336, p.173-184 |
issn | 0022-5193 1095-8541 |
language | eng |
recordid | cdi_proquest_miscellaneous_1443381284 |
source | MEDLINE; Elsevier ScienceDirect Journals |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T17%3A00%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20the%20spatial%20dynamics%20and%20oscillatory%20behavior%20of%20a%20predator-prey%20model%20based%20on%20cellular%20automata%20and%20local%20particle%20swarm%20optimization&rft.jtitle=Journal%20of%20theoretical%20biology&rft.au=Molina,%20Mario%20Mart%C3%ADnez&rft.date=2013-11-07&rft.volume=336&rft.spage=173&rft.epage=184&rft.pages=173-184&rft.issn=0022-5193&rft.eissn=1095-8541&rft_id=info:doi/10.1016/j.jtbi.2013.07.015&rft_dat=%3Cproquest_cross%3E1443381284%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1443381284&rft_id=info:pmid/23927834&rft_els_id=S002251931300338X&rfr_iscdi=true |