基于多目标进化算法的西亚马孙地区低影响测井分配

IF 0.6 4区农林科学 Q4 FORESTRY

Revista Arvore Pub Date : 2021-05-28 DOI:10.1590/1806-908820210000006

Marcos Antonio Isaac Júnior, B. Barbosa, L. R. Gomide, N. Calegário, E. O. Figueiredo, L. O. Moras Filho, E. D. A. Melo, D. Dantas

{"title":"基于多目标进化算法的西亚马孙地区低影响测井分配","authors":"Marcos Antonio Isaac Júnior, B. Barbosa, L. R. Gomide, N. Calegário, E. O. Figueiredo, L. O. Moras Filho, E. D. A. Melo, D. Dantas","doi":"10.1590/1806-908820210000006","DOIUrl":null,"url":null,"abstract":"ABSTRACT 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.","PeriodicalId":21214,"journal":{"name":"Revista Arvore","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"REDUCED-IMPACT LOGGING BY ALLOCATING LOG-DECKS USING MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM IN WESTERN AMAZON\",\"authors\":\"Marcos Antonio Isaac Júnior, B. Barbosa, L. R. Gomide, N. Calegário, E. O. Figueiredo, L. O. Moras Filho, E. D. A. Melo, D. Dantas\",\"doi\":\"10.1590/1806-908820210000006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT 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.\",\"PeriodicalId\":21214,\"journal\":{\"name\":\"Revista Arvore\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Arvore\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1590/1806-908820210000006\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Arvore","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1590/1806-908820210000006","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FORESTRY","Score":null,"Total":0}

引用次数: 0

摘要

为了减少砍伐对亚马逊雨林造成的破坏，新的元启发式方法已经实施和测试，以确保这一经济部门的可持续性。因此，本研究旨在比较道路尺寸和原木甲板分配的替代方案。在一个森林管理单位，在两个不同的地区评估了滑向原木甲板的情况。为了确定滑动/日志甲板关系，每隔50米生成等距的地理参考点。在区域1中，比较了整数线性规划(ILP)模型和多目标进化算法(MOEA)。在区域2中，只考虑了MOEA。在这两个领域，还将这些模式与森林管理单位目前使用的规划进行了比较。然后生成解决方案，以确定最佳的管理方案。在这两个领域，MOEA在处理时间、原木甲板数量和道路尺寸方面都表现出了更高的效率。多目标进化方法有助于决策过程，由于基于帕累托最优解的备选方案的呈现，使选择更加灵活和良好的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

REDUCED-IMPACT LOGGING BY ALLOCATING LOG-DECKS USING MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM IN WESTERN AMAZON

ABSTRACT 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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Revista Arvore FORESTRY-

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： A Revista Árvore é um veículo de comunicação científica da Sociedade de Investigações Florestais – SIF. O jornal é de acesso gratuito, revisado por pares, que publica bimestralmente trabalhos científicos originais no campo da Ciência Florestal. As áreas temáticas para publicação são: Ambiência e Conservação da Natureza, Manejo Florestal, Silvicultura e Tecnologia da Madeira e Utilização de Produtos Florestais. A política editorial visa manter alta conduta ética em relação à publicação e aos seus funcionários, rigor na qualidade dos artigos científicos, seleção de revisores qualificados, respeito profissional aos autores e processo de tomada de decisão imparcial. A Revista Árvore publica artigos apenas em inglês. Artigos de revisão podem ser publicados se houver uma discussão relevante resumindo o estado da arte sobre o assunto. A revisão estrita da literatura não é aceita.