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- W85844976 abstract "A heuristic optimisation method (HERO) has been developed for tactical forest planning at the area, or forest holding, levels. In such an approach, the planning area consists of many forest stands, each having several alternative treatment schedules. The idea is to find for each forest stand, or compartment, a treatment schedule that is optimal at the level of the entire planning area. HERO includes both a method for eliciting value judgements and a solution algorithm. It consists of two main phases: estimating a utility model (i.e. analysing and modelling objectives and preferences) and maximising the utility model. Variables in the utility model can be selected from parameters that are associated with the whole forest area, such as drain, costs, income, or qualities of the growing stock. An initial version of HERO used an additive utility model consisting of partial utilities that are determined using so-called sub-priority functions. There are no preconditions on the form of a sub-priority function. Pairwise comparisons among the variables and eigenvalue preference estimation can be used to derive the sub-priority functions and the relative importance of decision criteria. Since 1993, several applications of the initial method have been published. More recent versions of HERO contain extensions, such as multiplicative components in the utility model, which are described in this article." @default.
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- W85844976 date "2001-01-01" @default.
- W85844976 modified "2023-10-16" @default.
- W85844976 title "HERO: Heuristic Optimisation for Multi-Criteria Forestry Decision Analysis" @default.
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- W85844976 doi "https://doi.org/10.1007/978-94-015-9799-9_4" @default.
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