Ecological optimization using harmony search

  • Authors:
  • Zong Woo Geem;Justin C. Williams

  • Affiliations:
  • Environmental Planning & Management Program, Johns Hopkins University, Baltimore, Maryland;Environmental Planning & Management Program, Johns Hopkins University, Baltimore, Maryland

  • Venue:
  • MATH'08 Proceedings of the American Conference on Applied Mathematics
  • Year:
  • 2008

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Abstract

The music-inspired meta-heuristic algorithm, harmony search, was applied to a natural reserve selection problem for preserving species and their habitats. The problem was formulated as an optimization problem (maximal covering species problem; MCSP) to maximize covered species with minimal efforts. Then, it was solved by an improved harmony search (HS) algorithm which includes problem-specific operations. When applied to real-world problem in the state of Oregon, USA, the harmony search algorithm found better solutions than those of another meta-heuristic algorithm, simulated annealing.