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2013•International Journal of Advanced Operations ManagementRequires access

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

Antônio Almeida de Barros, Gustavo Willam Pereira, Geraldo Regis Mauri, Robson De Souza Melo

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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) 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.

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What this paper is about

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.

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Available 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) 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.

Key concepts: Simulated annealing, Metaheuristic, GRASP, Computer science, Genetic algorithm, Mathematical optimization, Plan (archaeology), Operations research

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