Development of a Genetic Algorithm Model for a Multiple-Objective Forest Harvesting and Zonation Problem

  • Author / Creator
    Kuloglu, Tevfik Z
  • Most of the forested lands in North America are managed for multiple objectives and forest management plans are designed in a manner to obtain or maintain sustainable forest management certification. One strategy for achieving some of these goals is forest zonation, which allows for different intensities of forest management (including reserve areas) in different zones of the forest. The focus of this thesis is the development of a spatially explicit forest estate model which simultaneously allocates forest land to different management intensity zones and harvest periods with the goal of satisfying multiple management objectives. The model was initially developed using mixed integer goal programming. This helped to identify a basic model structure which was used to guide the development of a genetic algorithm-based implementation. The development of the model, particularly the setting of goal weights to describe the decision maker's preferences is described in detail.

  • Subjects / Keywords
  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
  • Institution
    University of Alberta
  • Degree level
  • Department
    • Department of Renewable Resources
  • Specialization
    • Forest Biology and Management
  • Supervisor / co-supervisor and their department(s)
    • Armstrong, Glen (Renewable Resources)
  • Examining committee members and their departments
    • Jeffrey, Scott (Resources of Economics and Environmental Sociology)
    • Luckert, Martin (Resources of Economics and Environmental Sociology)