Abstract
In this paper we provide a survey of studies on non-static network optimization problems. As contrast to static network optimization which considers networks that are assumed to be time-independent, non-static (or time-varying) network optimization addresses situations where the structure and/or parameters of the network under consideration may change over time. These non-static problems are more adequate and realistic in modelling real-world situations and have thus attracted considerable attention in recent years. We will review the relevant models, analyses, and algorithms reported in this important branch of network optimization.
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Cai, X., Sha, D., Wong, C.K. (2001). Non-Static Network Optimization Problems: A Survey. In: Yang, X., Teo, K.L., Caccetta, L. (eds) Optimization Methods and Applications. Applied Optimization, vol 52. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3333-4_12
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