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

MN Al-Andoli, SC Tan, WP Cheah, SY Tan - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

A novel dynamic multiobjective optimization algorithm with hierarchical response system

H Li, Z Wang, C Lan, P Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a novel dynamic multiobjective optimization algorithm (DMOA) is proposed
based on a designed hierarchical response system (HRS). Named HRS-DMOA, the …

A survey on learnable evolutionary algorithms for scalable multiobjective optimization

S Liu, Q Lin, J Li, KC Tan - IEEE Transactions on Evolutionary …, 2023 - ieeexplore.ieee.org
Recent decades have witnessed great advancements in multiobjective evolutionary
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

MN Al-Andoli, SC Tan, WP Cheah - Information Sciences, 2022 - Elsevier
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 …

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 …

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 …

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 …

Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks

H Ma, Z Liu, X Zhang, L Zhang, H Jiang - Knowledge-Based Systems, 2021 - Elsevier
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 …

Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms

M Al-Andoli, WP Cheah, SC Tan - Journal of Intelligent & …, 2021 - content.iospress.com
Detecting communities is an important multidisciplinary research discipline and is
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

X Wu, L Chang, J Luo, J Wu - IEEE Access, 2021 - ieeexplore.ieee.org
With the continuous development of 5G network technology, the amount of data has surged.
Network data transmission technology needs improvement. To ensure the reliable …