A review on community detection in large complex networks from conventional to deep learning methods: A call for the use of parallel meta-heuristic algorithms
Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
A novel dynamic multiobjective optimization algorithm with hierarchical response system
In this article, a novel dynamic multiobjective optimization algorithm (DMOA) is proposed
based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …
based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …
A survey on learnable evolutionary algorithms for scalable multiobjective optimization
Recent decades have witnessed great advancements in multiobjective evolutionary
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
In this paper, a parallel deep learning-based community detection method in large complex
networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN …
networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN …
Adaptive candidate estimation-assisted multi-objective particle swarm optimization
HG Han, LL Zhang, Y Hou, JF Qiao - Science China Technological …, 2022 - Springer
The selection of global best (Gbest) exerts a high influence on the searching performance of
multi-objective particle swarm optimization algorithm (MOPSO). The candidates of MOPSO …
multi-objective particle swarm optimization algorithm (MOPSO). The candidates of MOPSO …
HpGraphNEI: A network entity identification model based on heterophilous graph learning
N Li, T Li, Z Ma, X Hu, S Zhang, F Liu, X Quan… - Information Processing …, 2024 - Elsevier
Network entities have important asset mapping, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …
applications. In cyberspace, where the network structure is complex and the number of …
Reliability aware multi-objective predictive control for wind farm based on machine learning and heuristic optimizations
X Yin, X Zhao, J Lin, A Karcanias - Energy, 2020 - Elsevier
In this paper, a reliability aware multi-objective predictive control strategy for wind farm
based on machine learning and heuristic optimizations is proposed. A wind farm model with …
based on machine learning and heuristic optimizations is proposed. A wind farm model with …
Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks
The task of community detection in attributed networks is to find a good community partition
in terms of both topology structure and node attribute. Despite that a number of algorithms …
in terms of both topology structure and node attribute. Despite that a number of algorithms …
Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms
Detecting communities is an important multidisciplinary research discipline and is
considered vital to understand the structure of complex networks. Deep autoencoders have …
considered vital to understand the structure of complex networks. Deep autoencoders have …
Efficient edge cache collaboration transmission strategy of opportunistic social network in trusted community
With the continuous development of 5G network technology, the amount of data has surged.
Network data transmission technology needs improvement. To ensure the reliable …
Network data transmission technology needs improvement. To ensure the reliable …