2021
DOI: 10.1016/j.comnet.2020.107747
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Ant Colony Optimization-based distributed multilayer routing and restoration in IP/MPLS over optical networks

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Cited by 14 publications
(4 citation statements)
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“…Every ant releases a substance called pheromone on the path from one city to another, and the basis for ants to choose the next city is a probability problem. In the ant colony algorithm, when the ants have passed through each city, a complete feasible solution is constructed [20,21]. However, if pheromones are accumulated continuously, there will be too many pheromones, which will affect the role of heuristic information.…”
Section: Ant Colony Algorithm Design Software Integrated Management F...mentioning
confidence: 99%
“…Every ant releases a substance called pheromone on the path from one city to another, and the basis for ants to choose the next city is a probability problem. In the ant colony algorithm, when the ants have passed through each city, a complete feasible solution is constructed [20,21]. However, if pheromones are accumulated continuously, there will be too many pheromones, which will affect the role of heuristic information.…”
Section: Ant Colony Algorithm Design Software Integrated Management F...mentioning
confidence: 99%
“…Based on the principle of ant colony algorithm, it is assumed that a set of characteristic data can be generated at a given time by a musical target [11]. At the same time, a set of feature data can only be associated with one music segment target.…”
Section: Characteristic Data Association Methods For Mass Music Resou...mentioning
confidence: 99%
“…The framework for IP over Optical Networks is presented in [2], where authors cover the requirements as well as mechanisms for establishing an IP-centric optical control plane together with architectural aspects of the IP transport over optical networks. Since that time, many researchers covered the topics of multi-layer network control with standard protocols [3]- [5], recently there is also some momentum in using artificial intelligence for that control [6], [7].…”
Section: Related Workmentioning
confidence: 99%
“…Regarding artificial intelligence, authors in [6] present fully distributed multi-layer routing policies based on BIOinspired ant colony optimization algorithm with online control for the optical and IP/MPLS layers. The algorithm presented by the authors assumes disjoint control planes for both optical and IP layers with the only local routing information in each network node, which represents a different approach than SDN, where network control is centralized.…”
Section: Related Workmentioning
confidence: 99%