Counterpart Models in Facility Location Science and Reserve Selection Science

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 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Environmental Modeling & Assessment Springer Journals

Counterpart Models in Facility Location Science and Reserve Selection Science

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Publisher
Springer Journals
Copyright
Copyright © 2002 by Kluwer Academic Publishers
Subject
Environment; Applications of Mathematics; Mathematical Modeling and Industrial Mathematics; Environment, general
ISSN
1420-2026
eISSN
1573-2967
D.O.I.
10.1023/A:1015641514293
Publisher site
See Article on Publisher Site

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.

Journal

Environmental Modeling & AssessmentSpringer Journals

Published: Oct 10, 2004

References

  • A note on optimal algorithms for reserve site selection
    Camm, J.D.; Polasky, S.; Solow, A.; Csuti, B.

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