A new mixed-integer programming model for spatial forest planning
| Autor: | Mikael Rönnqvist, Daniel Beaudoin, Marc-André Carle, Chourouk Gharbi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Forest planning Global and Planetary Change Mathematical optimization 021103 operations research Ecology Computer science 0211 other engineering and technologies Forestry 02 engineering and technology 01 natural sciences Unit (housing) Adjacency list Integer programming 010606 plant biology & botany Area restriction |
| Zdroj: | Canadian Journal of Forest Research. 49:1493-1503 |
| ISSN: | 1208-6037 0045-5067 |
| Popis: | The unit restriction model and the area restriction model are the two main approaches to dealing with adjacency in forest harvest planning. In this paper, we present a new mixed-integer programming (MIP) formulation that can be classified as both a unit restriction approach and an area restriction approach. We need to generate a feasible cluster to formulate the model. However, unlike other approaches, there is no need to generate specific model constraints representing computationally burdensome clusters for large cases. We describe and analyze our approach by comparing it with the most efficient approaches presented in the literature. Comparisons are made from modeling and computational points of view. Results showed that the proposed model was competitive with regard to modeling complexity and size of formulation. Furthermore, it is easy to implement in standard modeling software. |
| Databáze: | OpenAIRE |
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