Matlab GA for evolving optimal land use portfolios

Andrew Bell;
  • Publisher: Figshare
  • Related identifiers: doi: 10.5281/zenodo.21967
  • Subject: Matlab | Inorganic Chemistry | Biotechnology | Ecology | Land use | Plant Biology | Cancer | Genetic algorithms
    • FOR: 69999 Biological Sciences not elsewhere classified | 59999 Environmental Sciences not elsewhere classified

<p>A set of routines that use a genetic algorithm to evolve a best land-use portfolio, in response to expected water availability. While many platforms have genetic algorithm (GA) toolkits available (MATLAB for example), many specialized applications of GA require caref... View more
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