Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon

Detalhes bibliográficos
Autor(a) principal: Isaac Júnior, Marcos Antonio
Data de Publicação: 2021
Outros Autores: Barbosa, Bruno Henrique Groenner, Gomide, Lucas Rezende, Calegario, Natalino, Figueiredo, Evandro Orfanó, Moras Filho, Luiz Otávio, Melo, Elliezer de Almeida, Dantas, Daniel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49072
Resumo: To reduce the damage caused by logging in the Amazon rainforest, new metaheuristics have been implemented and tested to ensure the sustainability of this economic segment. Therefore, this study aimed to compare alternatives for road sizing and log deck allocation. In a forest management unit, the skidding to log decks was evaluated in two different areas. To determine the skidding/log deck relation, georeferenced points were generated equally spaced every 50 m. In area 1, the Integer Linear Programming (ILP) model and the Multi-Objective Evolutionary Algorithm (MOEA) were compared. In area 2, only the MOEA was considered. In both areas, these models were also compared to the current planning used in the forest management unit. Solutions were then generated to identify the best management alternative. In both areas, the MOEA showed greater efficiency regarding the processing time, as well as the reduction of log decks number and the road sizing. The multi-objective evolutionary approach assists the decision-making process, due to the presentation of alternatives based on Pareto-optimal solutions, making the choice more flexible and well supported.
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spelling Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western AmazonExploração madeireira de impacto reduzido por meio da alocação de pátios de estocagem de madeira usando Algoritmo Evolutivo Multiobjetivo na Amazônia OcidentalForest managementForest planningMetaheuristicsManejo florestalPlanejamento florestalMeta-heurísticasTo reduce the damage caused by logging in the Amazon rainforest, new metaheuristics have been implemented and tested to ensure the sustainability of this economic segment. Therefore, this study aimed to compare alternatives for road sizing and log deck allocation. In a forest management unit, the skidding to log decks was evaluated in two different areas. To determine the skidding/log deck relation, georeferenced points were generated equally spaced every 50 m. In area 1, the Integer Linear Programming (ILP) model and the Multi-Objective Evolutionary Algorithm (MOEA) were compared. In area 2, only the MOEA was considered. In both areas, these models were also compared to the current planning used in the forest management unit. Solutions were then generated to identify the best management alternative. In both areas, the MOEA showed greater efficiency regarding the processing time, as well as the reduction of log decks number and the road sizing. The multi-objective evolutionary approach assists the decision-making process, due to the presentation of alternatives based on Pareto-optimal solutions, making the choice more flexible and well supported.Com o objetivo de reduzir os danos causados pela exploração madeireira na floresta amazônica, novas meta-heurísticas vem sendo implementadas e testadas para garantir a sustentabilidade desse segmento econômico. Assim, este trabalho tem como objetivo comparar alternativas para o dimensionamento de estradas e para alocação de pátios de estocagem de madeira. Em uma unidade de manejo florestal, o deslocamento da exploração de árvores para os pátios de estocagem de madeira foi avaliado em duas diferentes áreas. Para determinar a relação exploração de árvores / pátios de estocagem de madeira, pontos georreferenciados foram gerados igualmente espaçados a cada 50 m. Na área 1, o modelo de Programação Linear Inteira (ILP) e o Algoritmo Evolutivo Multiobjetivo (MOEA) foram comparados. Na área 2, apenas o MOEA foi considerado. Em ambas as áreas, esses modelos também foram comparados com o planejamento executado na unidade de manejo florestal. Soluções foram geradas para identificar a melhor alternativa de manejo. Em ambas as áreas, o MOEA apresentou maior eficiência quanto ao tempo de processamento, bem como na redução do número de pátios de estocagem de madeira e no dimensionamento das estradas. A abordagem evolutiva multiobjetivo auxilia o processo de tomada de decisão, devido à apresentação de alternativas baseadas em soluções Pareto-ótimas, tornando a escolha mais flexível e bem fundamentada.Sociedade de Investigações Florestais2022-01-28T22:05:05Z2022-01-28T22:05:05Z2021-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfISAAC JÚNIOR, M. A. et al. Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon. Revista Árvore, Viçosa, MG, v. 45, e4506, 2021. DOI: https://doi.org/10.1590/1806-908820210000006.http://repositorio.ufla.br/jspui/handle/1/49072Revista Árvorereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessIsaac Júnior, Marcos AntonioBarbosa, Bruno Henrique GroennerGomide, Lucas RezendeCalegario, NatalinoFigueiredo, Evandro OrfanóMoras Filho, Luiz OtávioMelo, Elliezer de AlmeidaDantas, Danieleng2023-05-30T17:41:37Zoai:localhost:1/49072Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-30T17:41:37Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
Exploração madeireira de impacto reduzido por meio da alocação de pátios de estocagem de madeira usando Algoritmo Evolutivo Multiobjetivo na Amazônia Ocidental
title Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
spellingShingle Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
Isaac Júnior, Marcos Antonio
Forest management
Forest planning
Metaheuristics
Manejo florestal
Planejamento florestal
Meta-heurísticas
title_short Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
title_full Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
title_fullStr Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
title_full_unstemmed Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
title_sort Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon
author Isaac Júnior, Marcos Antonio
author_facet Isaac Júnior, Marcos Antonio
Barbosa, Bruno Henrique Groenner
Gomide, Lucas Rezende
Calegario, Natalino
Figueiredo, Evandro Orfanó
Moras Filho, Luiz Otávio
Melo, Elliezer de Almeida
Dantas, Daniel
author_role author
author2 Barbosa, Bruno Henrique Groenner
Gomide, Lucas Rezende
Calegario, Natalino
Figueiredo, Evandro Orfanó
Moras Filho, Luiz Otávio
Melo, Elliezer de Almeida
Dantas, Daniel
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Isaac Júnior, Marcos Antonio
Barbosa, Bruno Henrique Groenner
Gomide, Lucas Rezende
Calegario, Natalino
Figueiredo, Evandro Orfanó
Moras Filho, Luiz Otávio
Melo, Elliezer de Almeida
Dantas, Daniel
dc.subject.por.fl_str_mv Forest management
Forest planning
Metaheuristics
Manejo florestal
Planejamento florestal
Meta-heurísticas
topic Forest management
Forest planning
Metaheuristics
Manejo florestal
Planejamento florestal
Meta-heurísticas
description To reduce the damage caused by logging in the Amazon rainforest, new metaheuristics have been implemented and tested to ensure the sustainability of this economic segment. Therefore, this study aimed to compare alternatives for road sizing and log deck allocation. In a forest management unit, the skidding to log decks was evaluated in two different areas. To determine the skidding/log deck relation, georeferenced points were generated equally spaced every 50 m. In area 1, the Integer Linear Programming (ILP) model and the Multi-Objective Evolutionary Algorithm (MOEA) were compared. In area 2, only the MOEA was considered. In both areas, these models were also compared to the current planning used in the forest management unit. Solutions were then generated to identify the best management alternative. In both areas, the MOEA showed greater efficiency regarding the processing time, as well as the reduction of log decks number and the road sizing. The multi-objective evolutionary approach assists the decision-making process, due to the presentation of alternatives based on Pareto-optimal solutions, making the choice more flexible and well supported.
publishDate 2021
dc.date.none.fl_str_mv 2021-05
2022-01-28T22:05:05Z
2022-01-28T22:05:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv ISAAC JÚNIOR, M. A. et al. Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon. Revista Árvore, Viçosa, MG, v. 45, e4506, 2021. DOI: https://doi.org/10.1590/1806-908820210000006.
http://repositorio.ufla.br/jspui/handle/1/49072
identifier_str_mv ISAAC JÚNIOR, M. A. et al. Reduced-impact logging by allocating log-decks using Multiobjective Evolutionary Algorithm in Western Amazon. Revista Árvore, Viçosa, MG, v. 45, e4506, 2021. DOI: https://doi.org/10.1590/1806-908820210000006.
url http://repositorio.ufla.br/jspui/handle/1/49072
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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