Heuristics in Forest Planning

  • John Sessions
  • Pete Bettinger
  • Glen Murphy
Part of the International Series In Operations Research amp; Mana book series (ISOR, volume 99)

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.


Global Position System Simulated Annealing Tabu Search Forest Planning Tactical Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • John Sessions
    • 1
  • Pete Bettinger
    • 2
  • Glen Murphy
    • 1
  1. 1.Department of Forest EngineeringOregon State UniversityUSA
  2. 2.Warnell School of Forest ResourcesUniversity of GeorgiaUSA

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