A column generation approach for solving a non-temporal forest harvest model with spatial structure constraints Export

@article{martins05, abstract = {We present an integer programming model for a non-temporal forest harvest problem with constraints on the clearcut size and on the total area of old growth patches with a minimum size requirement. The model has a very large number of variables for operationally sized problems which precludes the use of exact solution methods. We propose column generation to solve the linear relaxation of the model and a linear programming rounding heuristic to obtain a solution to the model. Column generation may not solve exactly the linear relaxation because the optimization problems associated with the pricing subproblems are -hard. We present heuristics for these subproblems. Computational results for test instances and for a real life instance that corresponds to a large Portuguese forest are reported.}, author = {Martins, Isabel and Constantino, Miguel and Borges, Jos\'{e} G.}, booktitle = {Financial Modelling}, citeulike-article-id = {2841630}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.ejor.2003.07.021}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6VCT-4B724RV-C/1/b84b00a319b1bcc71fc048e72cc73396}, day = {1}, doi = {10.1016/j.ejor.2003.07.021}, journal = {European Journal of Operational Research}, keywords = {forestry, harvesting\_paper, old-growth}, month = {March}, number = {2}, pages = {478--498}, posted-at = {2008-05-28 15:21:14}, priority = {2}, title = {A column generation approach for solving a non-temporal forest harvest model with spatial structure constraints}, url = {http://dx.doi.org/10.1016/j.ejor.2003.07.021}, volume = {161}, year = {2005} }

TY - JOUR ID - martins05 L3 - citeulike-article-id:2841630 N2 - We present an integer programming model for a non-temporal forest harvest problem with constraints on the clearcut size and on the total area of old growth patches with a minimum size requirement. The model has a very large number of variables for operationally sized problems which precludes the use of exact solution methods. We propose column generation to solve the linear relaxation of the model and a linear programming rounding heuristic to obtain a solution to the model. Column generation may not solve exactly the linear relaxation because the optimization problems associated with the pricing subproblems are -hard. We present heuristics for these subproblems. Computational results for test instances and for a real life instance that corresponds to a large Portuguese forest are reported. IS - 2 JF - European Journal of Operational Research EP - 498 TI - A column generation approach for solving a non-temporal forest harvest model with spatial structure constraints VL - 161 T2 - Financial Modelling SP - 478 KW - forestry KW - harvesting_paper KW - old-growth AU - Martins, Isabel AU - Constantino, Miguel AU - Borges, José PY - 2005/03/01/ UR - http://dx.doi.org/10.1016/j.ejor.2003.07.021 ER -