Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215684
Abstract: Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of fifth generation (5G) and beyond network generations. A massive number of small base stations (SBSs) and connected devices have been exponentially increasing. This has… read more here.
Keywords: mobility; future mobile; robustness optimization; machine learning ... See more keywords
A GIN-Guided Multiobjective Evolutionary Algorithm for Robustness Optimization of Complex Networks
Sign Up to like & getrecommendations! Published in 2025 at "Algorithms"
DOI: 10.3390/a18100666
Abstract: Network robustness optimization is crucial for enhancing the resilience of industrial networks and social systems against malicious attacks. Existing studies typically evaluate the robustness by simulating the sequential removal of nodes or edges and recording… read more here.
Keywords: robustness; evolutionary algorithm; multiobjective evolutionary; robustness optimization ... See more keywords
Multi-Objective Optimization of the Robustness of Complex Networks Based on the Mixture of Weighted Surrogates
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12040404
Abstract: Network robustness is of paramount importance. Although great progress has been achieved in robustness optimization using single measures, such networks may still be vulnerable to many attack scenarios. Consequently, multi-objective network robustness optimization has recently… read more here.
Keywords: network; surrogate models; multi objective; robustness optimization ... See more keywords
On Robustness in Optimization-Based Constrained Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.48550/arxiv.2203.05291
Abstract: Iterative learning control (ILC) is a control strategy for repetitive tasks wherein information from previous runs is leveraged to improve future performance. Optimization-based ILC (OB-ILC) is a powerful design framework for constrained ILC where measurements… read more here.
Keywords: robustness optimization; control; learning control; iterative learning ... See more keywords