A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/1507 |
Resumo: | This study aims to propose and implement a conceptual model of an intelligent system in a georeferenced environment to determine the design of forest transport fleets. For this, we used a multi-agent systems tool, which is the subject of studies of distributed artificial intelligence. The proposed model considers the use of plantation mapping (stands) and forest roads, as well as information about the different vehicle transport capacities. The system was designed to adapt to changes that occur during the forest transport operation process, such as the modification of volume demanded or the inclusion of route restrictions used by the vehicles. For its development, we used the Java programming language associated with the LPSolve library for the optimization calculus, the JADE platform to develop agents, and the ArcGis Runtime to determine the optimal transport routes. Five agents were modelled: the transporter, controller, router, loader and unloader agents. The model is able to determine the amount of trucks among the different vehicles available that meet the demand and availability of routes, with a focus on minimizing the total costs of timber transport. The system can also rearrange itself after the transportation routes change during the process. |
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A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNINGDecision support systemDistributed decision makingRoutingArtificial intelligenceoperation researchThis study aims to propose and implement a conceptual model of an intelligent system in a georeferenced environment to determine the design of forest transport fleets. For this, we used a multi-agent systems tool, which is the subject of studies of distributed artificial intelligence. The proposed model considers the use of plantation mapping (stands) and forest roads, as well as information about the different vehicle transport capacities. The system was designed to adapt to changes that occur during the forest transport operation process, such as the modification of volume demanded or the inclusion of route restrictions used by the vehicles. For its development, we used the Java programming language associated with the LPSolve library for the optimization calculus, the JADE platform to develop agents, and the ArcGis Runtime to determine the optimal transport routes. Five agents were modelled: the transporter, controller, router, loader and unloader agents. The model is able to determine the amount of trucks among the different vehicles available that meet the demand and availability of routes, with a focus on minimizing the total costs of timber transport. The system can also rearrange itself after the transportation routes change during the process.CERNECERNE2017-09-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1507CERNE; Vol. 23 No. 3 (2017); 329-337CERNE; v. 23 n. 3 (2017); 329-3372317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1507/1008Copyright (c) 2017 CERNEinfo:eu-repo/semantics/openAccessAraújo Júnior, Carlos AlbertoLeite, Helio GarciaSoares, Carlos Pedro BoechatBinoti, Daniel Henrique BredaSouza, Amaury Paulo deSantana, Antônio FerrazTorres, Carlos Moreira Miquelino Eleto2018-08-27T17:48:06Zoai:cerne.ufla.br:article/1507Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:31.072250Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
title |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
spellingShingle |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING Araújo Júnior, Carlos Alberto Decision support system Distributed decision making Routing Artificial intelligence operation research |
title_short |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
title_full |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
title_fullStr |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
title_full_unstemmed |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
title_sort |
A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING |
author |
Araújo Júnior, Carlos Alberto |
author_facet |
Araújo Júnior, Carlos Alberto Leite, Helio Garcia Soares, Carlos Pedro Boechat Binoti, Daniel Henrique Breda Souza, Amaury Paulo de Santana, Antônio Ferraz Torres, Carlos Moreira Miquelino Eleto |
author_role |
author |
author2 |
Leite, Helio Garcia Soares, Carlos Pedro Boechat Binoti, Daniel Henrique Breda Souza, Amaury Paulo de Santana, Antônio Ferraz Torres, Carlos Moreira Miquelino Eleto |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Araújo Júnior, Carlos Alberto Leite, Helio Garcia Soares, Carlos Pedro Boechat Binoti, Daniel Henrique Breda Souza, Amaury Paulo de Santana, Antônio Ferraz Torres, Carlos Moreira Miquelino Eleto |
dc.subject.por.fl_str_mv |
Decision support system Distributed decision making Routing Artificial intelligence operation research |
topic |
Decision support system Distributed decision making Routing Artificial intelligence operation research |
description |
This study aims to propose and implement a conceptual model of an intelligent system in a georeferenced environment to determine the design of forest transport fleets. For this, we used a multi-agent systems tool, which is the subject of studies of distributed artificial intelligence. The proposed model considers the use of plantation mapping (stands) and forest roads, as well as information about the different vehicle transport capacities. The system was designed to adapt to changes that occur during the forest transport operation process, such as the modification of volume demanded or the inclusion of route restrictions used by the vehicles. For its development, we used the Java programming language associated with the LPSolve library for the optimization calculus, the JADE platform to develop agents, and the ArcGis Runtime to determine the optimal transport routes. Five agents were modelled: the transporter, controller, router, loader and unloader agents. The model is able to determine the amount of trucks among the different vehicles available that meet the demand and availability of routes, with a focus on minimizing the total costs of timber transport. The system can also rearrange itself after the transportation routes change during the process. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-26 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1507 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1507 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1507/1008 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 23 No. 3 (2017); 329-337 CERNE; v. 23 n. 3 (2017); 329-337 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874943269208064 |