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Control in Social Economic Systems
A new algorithm for solving a special matching problem with a general form value function under constraints
D. V. Uzhegov, A. A. Anan'ev, P. V. Lomovitskii, A. N. Khlyupin MIPhT Engineering Center for Hard to Recover Minerals, Moscow Institute of Physics and Technology (State University), Moscow, Russia
Abstract:
We consider the assignment problem with a special structure with a general form value function and constraints prohibiting certain matchings. In this case, the matching cost may be undefined until some permutation is found. We formulate the problem in terms of graph theory and reduce it to finding a minimal cost path in a graph with nonlocal edge weights. The proposed method for solving the problem is a modification of the Dijkstra’s shortest path algorithm in a weighted directed graph. This research is motivated by well drilling applications. We also show the analysis of our numerical experiments.
Keywords:
quadratic assignment problem, invalid matchings, shortest path in a graph, Dijkstra's algorithm.
Citation:
D. V. Uzhegov, A. A. Anan'ev, P. V. Lomovitskii, A. N. Khlyupin, “A new algorithm for solving a special matching problem with a general form value function under constraints”, Avtomat. i Telemekh., 2019, no. 1, 101–115; Autom. Remote Control, 80:1 (2019), 81–92
Linking options:
https://www.mathnet.ru/eng/at15230 https://www.mathnet.ru/eng/at/y2019/i1/p101
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Statistics & downloads: |
Abstract page: | 258 | Full-text PDF : | 66 | References: | 35 | First page: | 21 |
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