A spatial approach to forest-management optimization: linking GIS and multiple objective genetic algorithms
Forest-management decision-support systems are largely monolithic structures. Spatial details are left out during the optimization process and are elaborated during the operational planning. This might produce misleading results and plans that are impossible to implement. In this paper, a forest-management spatial decision-support systems is presented, in which spatial formulation needed for wildlife models is included during the optimization process. To this end, a multiple-objective genetic algorithm is combined with a geographical information system. An online spatial evaluation of the objective functions is made possible. This is illustrated by a pilot study in Kirkhill forest, Aberdeen.
spatial approach forest-management optimization multiple-objective genetic algorithms