Decomposition algorithms for the design of a nonsimultaneous capacitated evacuation tree network
In this article, we examine the design of an evacuation tree, in which evacuation is subject to capacity restrictions on arcs. The cost of evacuating people in the network is determined by the sum of penalties incurred on arcs on which they travel, where penalties are determined according to a nonde...
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          | Published in | Networks Vol. 53; no. 2; pp. 91 - 103 | 
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| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Hoboken
          Wiley Subscription Services, Inc., A Wiley Company
    
        01.03.2009
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0028-3045 1097-0037  | 
| DOI | 10.1002/net.20278 | 
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| Summary: | In this article, we examine the design of an evacuation tree, in which evacuation is subject to capacity restrictions on arcs. The cost of evacuating people in the network is determined by the sum of penalties incurred on arcs on which they travel, where penalties are determined according to a nondecreasing function of time. Given a discrete set of disaster scenarios affecting network population, arc capacities, transit times, and penalty functions, we seek to establish an optimal a priori evacuation tree that minimizes the expected evacuation penalty. The solution strategy is based on Benders decomposition, in which the master problem is a mixed‐integer program and each subproblem is a time‐expanded network flow problem. We provide efficient methods for obtaining primal and dual subproblem solutions, and analyze techniques for improving the strength of the master problem formulation, thus reducing the number of master problem solutions required for the algorithm's convergence. We provide computational results to compare the efficiency of our methods on a set of randomly generated test instances. © 2008 Wiley Periodicals, Inc. NETWORKS, 2009 | 
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| Bibliography: | istex:18CFFF8525BC5E45B8F48DA9C7182BD874A2EADF ark:/67375/WNG-5MMVX0RG-T ArticleID:NET20278 Office of Naval Research - No. N00014-03-1-0510 Air Force Office of Scientific Research - No. F49620-03-1-0377  | 
| ISSN: | 0028-3045 1097-0037  | 
| DOI: | 10.1002/net.20278 |