Forest planning using particle swarm optimization with a priority representation

  • Authors:

  • P. W. Brooks;W. D. Potter

  • Affiliations:

  • Institute for Artificial Intelligence, University of Georgia, Athens, GA;Institute for Artificial Intelligence, University of Georgia, Athens, GA

  • Venue:
  • IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

We examine the poor performance of Discrete Particle Swarm Optimization when applied to forest planning, a combinatorial optimization problem in which the goal is to maintain an even flow of timber from a forested area of multiple plots over several time periods while cutting each plot no more than once and no two adjacent plots within the same period. We suggest an alternative priority representation using Particle Swarm Optimization with real numbers and justify it with experimental results.