Anais do Simpósio Brasileiro de Pesquisa Operacional
Anais do Simpósio Brasileiro de Pesquisa Operacional

The transportation logistics account for more than 50% of the costs associated with forest harvesting. Therefore, optimizing this activity is crucial for companies in the market. In this study, we model the forest harvesting problem as a transportation problem linked to a task scheduling problem. To achieve optimization, we proposed the implementation of three heuristics: Genetic Algorithms, Firefly Algorithm, and a hybrid method combining characteristics of both. We analyzed thirty instances divided into six groups, each with distinct characteristics. The numerical results demonstrate that the analyzed algorithms were capable of adapting to different scenarios within a viable computational time frame for real-sized instances. However, despite being the oldest method, the genetic algorithm yielded the best results in terms of solution quality and computational time. algorithm obtained the best result.