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A 2-Opt Tabu Search Procedure for the Multiperiod Forest Harvesting Problem with Adjacency, Greenup, Old Growth, and Even Flow Constraints

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Because of environmental concerns, modern forest harvesting plans are being modified to address aesthetics and wildlife protection issues. In the literature, the most referenced are adjacency constraints with exclusion or “greenup” years. Also of interest are the concepts of old growth patch size and total old growth area restrictions. Typically, harvest blocks have been defined a priori. Recently, some have proposed a more complex approach in which basic cells are defined, and the decision-making process includes forming harvest blocks from these cells. This has been called ARM (Area Restriction Model). Until now, no successful exact method has been reported for large-scale ARM problems, leaving heuristics as a viable option. In this work we present a multiperiod harvest-scheduling ARM model with these spatial constraints. A tabu search procedure with 2-Opt moves (exchanging at most 2 units) was developed. For small size instances, the procedure found the optimal solution in most cases, and for a real-size problem an 8% optimality gap is provided. FOR. SCI. 49(5):738–751.
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Keywords: Heuristics; environmental management; forest; forest management; forest management scheduling; forest resources; forestry; forestry research; forestry science; integer programming; natural resource management; natural resources; spatial modeling

Document Type: Miscellaneous

Affiliations: 1: Instructor Departamento de Ingeniería Industrial, Universidad de Chile, República 701, Santiago, Casilla, Chile, 2777, Phone: 562-678-4046; Fax: 562-689-7895 [email protected] 2: Assistant Professor Departamento de Estatística e Investigação Operacional, Faculdade de Ciências da Universidade de Lisboa, Bloco C2, Piso 2, Lisboa, Portugal, 1749-016, [email protected] 3: Assistant Professor Departamento de Matematicas, Instituto Superior de Agronomia, Tapada da Ajuda, Lisboa, Portugal, 1300, [email protected] 4: Full Professor Departamento de Ingeniería Industrial, Universidad de Chile, [email protected]

Publication date: 2003-10-01

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    Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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