Research output: Contribution to journal › Article › peer-review
Global Optimum Search in the Network Design Problem. / Крылатов, Александр Юрьевич.
In: Computational Mathematics and Mathematical Physics, Vol. 64, No. 10, 01.10.2024, p. 2238-2255.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Global Optimum Search in the Network Design Problem
AU - Крылатов, Александр Юрьевич
PY - 2024/10/1
Y1 - 2024/10/1
N2 - Abstract: The global optimum search in the network design problem for the case of networks with disjoint paths is considered. In the considered formulation of the problem, the manager of a network invests in the capacities of its elements, seeking to minimize the total delay arising from the equilibrium flow assignment. It is proven that the solution to the problem under study must necessarily solve a certain minimax problem. Optimality conditions for solutions of the minimax problem are found under fairly natural assumptions. Based on the results, a new algorithm is developed for optimizing the topology of a network with disjoint paths.
AB - Abstract: The global optimum search in the network design problem for the case of networks with disjoint paths is considered. In the considered formulation of the problem, the manager of a network invests in the capacities of its elements, seeking to minimize the total delay arising from the equilibrium flow assignment. It is proven that the solution to the problem under study must necessarily solve a certain minimax problem. Optimality conditions for solutions of the minimax problem are found under fairly natural assumptions. Based on the results, a new algorithm is developed for optimizing the topology of a network with disjoint paths.
KW - equilibrium flow assignment
KW - network design problem
UR - https://www.mendeley.com/catalogue/466f3c37-a6be-317e-b539-a5c94184c5d7/
U2 - 10.1134/s0965542524701239
DO - 10.1134/s0965542524701239
M3 - Article
VL - 64
SP - 2238
EP - 2255
JO - Computational Mathematics and Mathematical Physics
JF - Computational Mathematics and Mathematical Physics
SN - 0965-5425
IS - 10
ER -
ID: 128361082