Bi-objective optimization models for network interdiction
RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 2, pp. 461-472.

This paper designs models for the network interdiction problem. The interdiction problem under study has two contradicting goals: disrupting the network to minimize the profit of one set of agents, while as much as possible preserve the profit of another set of agents. Three bi-objective optimization methods are employed to form the optimal objectives. Also, we develop two formulations (MILP and multi-stage LP) used to deal with congestion cost which is a piecewise cost function. A numerical instance is also presented to better illustrate those models.

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Accepté le :
DOI : 10.1051/ro/2017050
Classification : 90Cxx
Mots-clés : Bi-objective optimization interdiction, network flows
Chen, Yan 1 ; Guo, Cheng 1 ; Yu, Shenghan 1

1 
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     author = {Chen, Yan and Guo, Cheng and Yu, Shenghan},
     title = {Bi-objective optimization models for network interdiction},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {461--472},
     publisher = {EDP-Sciences},
     volume = {53},
     number = {2},
     year = {2019},
     doi = {10.1051/ro/2017050},
     zbl = {1430.90540},
     language = {en},
     url = {http://archive.numdam.org/articles/10.1051/ro/2017050/}
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Chen, Yan; Guo, Cheng; Yu, Shenghan. Bi-objective optimization models for network interdiction. RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 2, pp. 461-472. doi : 10.1051/ro/2017050. http://archive.numdam.org/articles/10.1051/ro/2017050/

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