Evaluation of a simulated annealing metaheuristic to solve a forest planning problem
by Antonio Almeida De Barros Junior; Gustavo Willam Pereira; Geraldo Regis Mauri; Robson De Souza Melo
International Journal of Advanced Operations Management (IJAOM), Vol. 5, No. 4, 2013

Abstract: 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) metaheuristic 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.

Online publication date: Mon, 28-Apr-2014

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