Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm
In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real exper...
Gespeichert in:
Veröffentlicht in: | Computer engineering and applications journal 2017-10, Vol.6 (3), p.127-138 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 138 |
---|---|
container_issue | 3 |
container_start_page | 127 |
container_title | Computer engineering and applications journal |
container_volume | 6 |
creator | Husni, Nyayu Latifah Silvia, Ade Nurmaini, Siti Yuridho, Falah Yani, Irsyadi |
description | In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method. |
doi_str_mv | 10.18495/comengapp.v6i3.221 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2330956525</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2330956525</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1171-ab930ebe831195a87004311bfed88c7f2cc41dcf513059b0fc3235acdbcab5743</originalsourceid><addsrcrecordid>eNo9kF9LwzAUxYMoOOo-gS8Bn1vzd20fx9A5GEycw8eQZOmW0TY1yRT36e3s8OXe83DPuZwfAPcYZbhgJX_UrjHtTnZd9jWxNCMEX4ERIZyknPHy-qIZydktGIdwQAhhSjhFbAQ-1t_SN_DNKRfhoulq02dFGa1roW3hXAa4NtLrvW13cBPO81X6aHVt4GBdddE29jRYpvXOeRv3zR24qWQdzPiyE7B5fnqfvaTL1Xwxmy5TjXGOU6lKiowyBcW45LLIEWK9VJXZFoXOK6I1w1tdcUwRLxWqNCWUS71VWiqeM5qAhyG38-7zaEIUB3f0bf9SEEpRySe8b5oAOlxp70LwphKdt430PwIj8QdR_EMUZ4iih0h_AWtLaQo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2330956525</pqid></control><display><type>article</type><title>Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Husni, Nyayu Latifah ; Silvia, Ade ; Nurmaini, Siti ; Yuridho, Falah ; Yani, Irsyadi</creator><creatorcontrib>Husni, Nyayu Latifah ; Silvia, Ade ; Nurmaini, Siti ; Yuridho, Falah ; Yani, Irsyadi</creatorcontrib><description>In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.</description><identifier>ISSN: 2252-4274</identifier><identifier>EISSN: 2252-5459</identifier><identifier>DOI: 10.18495/comengapp.v6i3.221</identifier><language>eng</language><publisher>Palembang: Computer Engineering and Applications Journal, Universitas Sriwijaya</publisher><subject>Algorithms ; Computer simulation ; Particle swarm optimization ; Robots ; Searching</subject><ispartof>Computer engineering and applications journal, 2017-10, Vol.6 (3), p.127-138</ispartof><rights>2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Husni, Nyayu Latifah</creatorcontrib><creatorcontrib>Silvia, Ade</creatorcontrib><creatorcontrib>Nurmaini, Siti</creatorcontrib><creatorcontrib>Yuridho, Falah</creatorcontrib><creatorcontrib>Yani, Irsyadi</creatorcontrib><title>Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm</title><title>Computer engineering and applications journal</title><description>In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Particle swarm optimization</subject><subject>Robots</subject><subject>Searching</subject><issn>2252-4274</issn><issn>2252-5459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kF9LwzAUxYMoOOo-gS8Bn1vzd20fx9A5GEycw8eQZOmW0TY1yRT36e3s8OXe83DPuZwfAPcYZbhgJX_UrjHtTnZd9jWxNCMEX4ERIZyknPHy-qIZydktGIdwQAhhSjhFbAQ-1t_SN_DNKRfhoulq02dFGa1roW3hXAa4NtLrvW13cBPO81X6aHVt4GBdddE29jRYpvXOeRv3zR24qWQdzPiyE7B5fnqfvaTL1Xwxmy5TjXGOU6lKiowyBcW45LLIEWK9VJXZFoXOK6I1w1tdcUwRLxWqNCWUS71VWiqeM5qAhyG38-7zaEIUB3f0bf9SEEpRySe8b5oAOlxp70LwphKdt430PwIj8QdR_EMUZ4iih0h_AWtLaQo</recordid><startdate>20171031</startdate><enddate>20171031</enddate><creator>Husni, Nyayu Latifah</creator><creator>Silvia, Ade</creator><creator>Nurmaini, Siti</creator><creator>Yuridho, Falah</creator><creator>Yani, Irsyadi</creator><general>Computer Engineering and Applications Journal, Universitas Sriwijaya</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8AL</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20171031</creationdate><title>Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm</title><author>Husni, Nyayu Latifah ; Silvia, Ade ; Nurmaini, Siti ; Yuridho, Falah ; Yani, Irsyadi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1171-ab930ebe831195a87004311bfed88c7f2cc41dcf513059b0fc3235acdbcab5743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Particle swarm optimization</topic><topic>Robots</topic><topic>Searching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Husni, Nyayu Latifah</creatorcontrib><creatorcontrib>Silvia, Ade</creatorcontrib><creatorcontrib>Nurmaini, Siti</creatorcontrib><creatorcontrib>Yuridho, Falah</creatorcontrib><creatorcontrib>Yani, Irsyadi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>East & South Asia Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Computer engineering and applications journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Husni, Nyayu Latifah</au><au>Silvia, Ade</au><au>Nurmaini, Siti</au><au>Yuridho, Falah</au><au>Yani, Irsyadi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm</atitle><jtitle>Computer engineering and applications journal</jtitle><date>2017-10-31</date><risdate>2017</risdate><volume>6</volume><issue>3</issue><spage>127</spage><epage>138</epage><pages>127-138</pages><issn>2252-4274</issn><eissn>2252-5459</eissn><abstract>In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.</abstract><cop>Palembang</cop><pub>Computer Engineering and Applications Journal, Universitas Sriwijaya</pub><doi>10.18495/comengapp.v6i3.221</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2252-4274 |
ispartof | Computer engineering and applications journal, 2017-10, Vol.6 (3), p.127-138 |
issn | 2252-4274 2252-5459 |
language | eng |
recordid | cdi_proquest_journals_2330956525 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Algorithms Computer simulation Particle swarm optimization Robots Searching |
title | Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T20%3A56%3A54IST&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=Swarm%20Robot%20Implementation%20in%20Gas%20Searching%20Using%20Particle%20Swarm%20Optimization%20Algorithm&rft.jtitle=Computer%20engineering%20and%20applications%20journal&rft.au=Husni,%20Nyayu%20Latifah&rft.date=2017-10-31&rft.volume=6&rft.issue=3&rft.spage=127&rft.epage=138&rft.pages=127-138&rft.issn=2252-4274&rft.eissn=2252-5459&rft_id=info:doi/10.18495/comengapp.v6i3.221&rft_dat=%3Cproquest_cross%3E2330956525%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=2330956525&rft_id=info:pmid/&rfr_iscdi=true |