Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks
Autor: | Srinivasa M. Salapaka, Amber Srivastava |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Mathematical optimization Control and Optimization Optimization problem Computer Networks and Communications Computer science Node (networking) 020206 networking & telecommunications 02 engineering and technology Network topology Facility location problem Dynamic programming 020901 industrial engineering & automation Spatial network Control and Systems Engineering Signal Processing Shortest path problem Path (graph theory) 0202 electrical engineering electronic engineering information engineering |
Zdroj: | IEEE Transactions on Control of Network Systems. 7:1700-1711 |
ISSN: | 2372-2533 |
DOI: | 10.1109/tcns.2020.2995831 |
Popis: | We present a framework for solving simultaneously the problems of facility location and path optimization in static and dynamic spatial networks. In the static setting, the objective is to determine facility locations and transportation paths from each node to the destination via the network of facilities such that the total cost of commodity transportation is minimized. This is an NP-hard problem. We propose a novel stage-wise viewpoint of the paths which is instrumental in designing the decision variable space in our framework. We use the maximum entropy principle to solve the resulting optimization problem. In the dynamic setting, nodes and destinations are dynamic. We design an appropriate control Lyapunov function to determine the time evolution of facilities and paths such that the transportation cost at each time instant is minimized. Our framework enables quantifying attributes of the facilities and transportation links in terms of the decision variables. Consequently, it becomes possible to incorporate application specific constraints on individual facilities, links, and network topology. We demonstrate the efficacy of our proposed framework through extensive simulations. |
Databáze: | OpenAIRE |
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