Multi-objective routing and resource allocation based on reinforcement learning in optical transport networks
Multi-Objective Routing and Resource Allocation Based on Reinforcement Learning in Optical
Transport Networks Page 1 M4A.205.pdf Asia Communications and Photonics Conference 2020 …
Transport Networks Page 1 M4A.205.pdf Asia Communications and Photonics Conference 2020 …
Applications of Bio-inspired Computational Intelligence in Optical Networks
JFM Filhoa, CJAB Filhob, DAR Chavesb - Proc. of SPIE Vol - spiedigitallibrary.org
Computational intelligence techniques have appeared as efficient alternatives to solve
complex problems, such as in optimization of multi-objective problems. These techniques …
complex problems, such as in optimization of multi-objective problems. These techniques …
[PDF][PDF] Many-objective Optimization to Overcome the Dependency on the Cost Model in the Design of Optical Networks
We present a novel many-objective approach to tackle simultaneously the regenerator
placement and link capacity optimization problems in translucent optical networks, named …
placement and link capacity optimization problems in translucent optical networks, named …
Applications of bio-inspired computational intelligence in optical networks
Computational intelligence techniques have appeared as efficient alternatives to solve
complex problems, such as in optimization of multi-objective problems. These techniques …
complex problems, such as in optimization of multi-objective problems. These techniques …
[PDF][PDF] Algorithms for Joint Optimization of Link Capacity and Regenerators Placement in Optical Networks
In this paper we compare two different approaches to tackle the regenerator placement and
link capacity optimization joint problem in translucent optical networks. The former and …
link capacity optimization joint problem in translucent optical networks. The former and …
[CITATION][C] An Integrated Survey on Routing Wavelength Assignment in Optical Networks
R Rani, R Kkumari