Counterpart Models in Facility Location Science and Reserve Selection Science
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...
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| Veröffentlicht in: | Environmental modeling & assessment 2002-06, Vol.7 (2), p.71-80 |
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| creator | ReVelle, Charles S Williams, Justin C Boland, John J |
| description | 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. [PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1023/A:1015641514293 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1420-2026 |
| ispartof | Environmental modeling & assessment, 2002-06, Vol.7 (2), p.71-80 |
| issn | 1420-2026 1573-2967 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_743143506 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Conservation Ecosystems Environmental impact Heuristic Inequality Integer programming Linear programming Location analysis Science Species diversity Studies Variables |
| title | Counterpart Models in Facility Location Science and Reserve Selection Science |
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