A multi-agent system for forest transport activity planning

• Autor(a) principal: Carlos Alberto Araújo Júnior
• Data de Publicação: 2017
• Outros Autores: Hélio Garcia Leite, Carlos Pedro Boechat Soares, Daniel Henrique Breda Binoti, Amaury Paulo de Souza, Antônio Ferraz Santana, Carlos Moreira Miquelino Eleto Torres
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.1590/01047760201723032335; http://hdl.handle.net/1843/43193; https://orcid.org/0000-0003-0909-8633
• topic: Artificial Intelligence; Operational Research; Geoprocessing; Inteligência artificial; Pesquisa operacional; Geoprocessamento; Madeira -- Transporte; Florestas -- Administração

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 based 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 itself to changes that occur during the forest transport operation process, such as the modification of demanded volume 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 calculation, 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.