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Heuristics in Forest Planning

In: Handbook Of Operations Research In Natural Resources

Author

Listed:
  • John Sessions

    (Oregon State University)

  • Pete Bettinger

    (University of Georgia)

  • Glen Murphy

    (Oregon State University)

Abstract

Heuristics are often used in forest planning due to the size and nonlinear structure of many problems. Heuristics have been used at all levels of forest planning: strategic, tactical, and operational. An important strength of heuristics is their ability to capture the essence of the planning problem. The solution methods for forest-planning problems reflect the wide range of problems being solved, from rule-based systems to network-based algorithms, linear programming (LP)-heuristic combinations, as well as the more recent metaheuristics (simulated annealing, threshold accepting, tabu search, and genetic algorithms). The major barriers to solving planning problems have moved from hardware and software to costs of data capture, reliability, and uncertainty. Advances in data-capturing technologies will help. Trained and experienced people are important to the success of heuristic applications.

Suggested Citation

  • John Sessions & Pete Bettinger & Glen Murphy, 2007. "Heuristics in Forest Planning," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 431-448, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71815-6_23
    DOI: 10.1007/978-0-387-71815-6_23
    as

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