Recently, different nanophotonic computational design methods based on optimization
algorithms have been proposed which revolutionized the conventional design techniques of …

In this paper, we introduce the design approach of integrated photonic devices by employing
reinforcement learning known as attractor selection. Here, we combined three-dimensional …

We propose an efficient method utilizing neural memories for network topology selection.
More specifically, we focus on virtual topology reconfiguration (VTR) problem in optical …

When wavelength division multiplexing with path (circuit) switching is used on an optical
network, even the failure of a single link may tear down many lightpaths and cause abrupt …

Future-generation networks are expected to be more robust to network failures. However, as
each physical link carries multiple lightpaths when a VNT (Virtual Network Topology) is …

Much research in the last two decades has focused on Virtual Topology Reconfiguration
(VTR) problem. However, most of the proposed methods either has low controllability, or the …

This work extends a previously proposed algorithm for virtual topology reconfiguration in all
optical networks. Earlier, an algorithm using auto-associative neural memories has been …