Counterpart Models in Facility Location Science and Reserve Selection Science Export

@article{citeulike:2505329, abstract = {Five classes of zero–one programming models for discrete facility location problems are compared to counterpart models for the selection of conservation reserves. The basic problem of siting facilities to cover demand for services is analogous to the problem of selecting reserves to support species diversity. The classes of models include the set covering and maximal covering models, as well as models for backup and redundant coverage. Issues of reliability and uncertainty are addressed by chance constrained covering models and maximal expected covering models. Exact and heuristic solution approaches are discussed. Multi-objective and economic issues are considered.}, author = {Revelle, Charles S. and Williams, Justin C. and Boland, John J.}, citeulike-article-id = {2505329}, citeulike-linkout-0 = {http://dx.doi.org/10.1023/A:1015641514293}, day = {1}, doi = {10.1023/A:1015641514293}, journal = {Environmental Modeling and Assessment}, keywords = {integer\_programming, reserve\_selection}, month = {June}, number = {2}, pages = {71--80}, posted-at = {2008-03-11 02:16:36}, priority = {2}, title = {Counterpart Models in Facility Location Science and Reserve Selection Science}, url = {http://dx.doi.org/10.1023/A:1015641514293}, volume = {7}, year = {2002} }

TY - JOUR ID - citeulike:2505329 L3 - citeulike-article-id:2505329 N2 - Five classes of zero–one programming models for discrete facility location problems are compared to counterpart models for the selection of conservation reserves. The basic problem of siting facilities to cover demand for services is analogous to the problem of selecting reserves to support species diversity. The classes of models include the set covering and maximal covering models, as well as models for backup and redundant coverage. Issues of reliability and uncertainty are addressed by chance constrained covering models and maximal expected covering models. Exact and heuristic solution approaches are discussed. Multi-objective and economic issues are considered. IS - 2 JF - Environmental Modeling and Assessment EP - 80 TI - Counterpart Models in Facility Location Science and Reserve Selection Science VL - 7 SP - 71 KW - integer_programming KW - reserve_selection AU - Revelle, Charles AU - Williams, Justin AU - Boland, John PY - 2002/06/01/ UR - http://dx.doi.org/10.1023/A:1015641514293 ER -