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Multi-objective spatial forest planning using self-organization
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DOI：10.1016/j.ecoinf.2015.06.001.png)
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Abstract
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The spatial and temporal aspects of forest planning are taken into consideration in this paper in a forest harvest scheduling problem that is treated with the following two conflicting objectives: (a) maximization of timber volume and (b) minimization of sedimentation. Two realistic constraints are considered: (a) lower bound for timber yield and (b) even-flows between management periods. An optimization algorithm based on self-organization is applied through a spatial transition rule. The optimization procedure does not use weighted sum objective functions but it produces a Pareto front. The proposed algorithm manages to overcome the local character of the transition rule and to achieve global, emergent results, such as compactness. (C) 2015 Elsevier B.V. All rights reserved.
Keywords:
Multi-objective optimization
Self-organization
Spatial forest planning
Metaheuristics
Timber harvesting
Erosion
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