Feature selection for optical network design via a new mutual information estimator
作者：
Highlights：
• Feature selection of topology parameters to support optical network design systems.
• New mutual information via entropy estimation to filter the most important parameters.
• Real-world and random-generated optical networks are under study.
• Some parameters related to congestion, connectivity, distance, and degree stand out.
• Wavelengths use, an NP-hard metric, explained by polynomial computation time features.
摘要
•Feature selection of topology parameters to support optical network design systems.•New mutual information via entropy estimation to filter the most important parameters.•Real-world and random-generated optical networks are under study.•Some parameters related to congestion, connectivity, distance, and degree stand out.•Wavelengths use, an NP-hard metric, explained by polynomial computation time features.
论文关键词：Feature selection,Mutual information,Optical network design,Number of wavelengths,Topological invariants,Graph theory
论文评审过程：Received 31 May 2017, Revised 12 April 2018, Accepted 12 April 2018, Available online 17 April 2018, Version of Record 27 April 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.018
