%0 Research article
%T Multiple solution harvest scheduling
%A Van Deusen, Paul C.
%D 1999
%J Silva Fennica
%V 33
%N 3
%R doi:10.14214/sf.657
%U https://silvafennica.fi/article/657
%X Application of the Metropolis algorithm for forest harvest scheduling is  extended by automating the relative weighting of objective function  components. Previous applications of the Metropolis algorithm require  the user to specify these weights, which demands substantial trial and  error in practice. This modification allows for general incorporation of  objective function components that are either periodic or spatial in  nature. A generic set of objective function components is developed to  facilitate harvest scheduling for a wide range of problems. The  resulting algorithm generates multiple feasible solutions rather than a  single optimal solution.