Evaluation of a simulated annealing metaheuristic to solve a forest planning problem

This paper discusses a forest planning problem that aims to obtain a specific management plan for the planting and harvesting of wood. The problem has the objective of maximising the net present value. A simulated annealing (SA) metaheuristics was proposed to solve the problem. The SA performance is tested in a set of ten problems generated from real data. The results obtained by the SA were compared with solution found by a GRASP and a genetic algorithm reported in the literature.