Economic analysis of integrating spatial concerns into harvest scheduling Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xp68km43g

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  • An analytical algorithm to formulate a sparser set of adjacency constraints than the conventional algorithm is proposed. Utilizing matrix algebra applied to an adjacency matrix, constraints are systematically and efficiently derived by the proposed algorithm. The proposed algorithm is proved to provide a true set of adjacency constraints in the sense that no adjacent harvests can occur. A heuristic technique to solve a spatially constrained area-based harvest scheduling problem with even-flow constraints is proposed. The technique combines the modified random search technique, the modified binary search method, and the PATH algorithm. Partitioning the multiperiod scheduling problem, period by period using the PATH algorithm, the objective at each period is respecified by minimizing harvest flow fluctuation from the lower bound of the harvest flow level, and the feasibility of a solution at each period is expanded to both the current and the following periods. The modified random search technique is applied to generate a feasible solution at each period. The modified binary search method is used to obtain an optimal or appropriate even-flow level. By using the proposed heuristic technique, the cost evaluation of implementing various spatial restrictions on riparian zone planning is presented.
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