An improved cuckoo search optimization algorithm with genetic algorithm for community detection in complex networks
ST Shishavan, FS Gharehchopogh - Multimedia Tools and Applications, 2022 - Springer
Abstract This paper improved Cuckoo Search Optimization (CSO) algorithm with a Genetic
Algorithm (GA) for community detection in complex networks. CSO algorithm has problems …
Algorithm (GA) for community detection in complex networks. CSO algorithm has problems …
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 …
Competitive swarm optimizer with dynamic multi-competitions and convergence accelerator for large-scale optimization problems
C Huang, D Wu, X Zhou, Y Song, H Chen… - Applied Soft Computing, 2024 - Elsevier
Large-scale optimizations (LSOPs) with high dimensional decision variables have become
one of the most challenging problems in engineering optimization. High dimensional …
one of the most challenging problems in engineering optimization. High dimensional …
A survey of graph unlearning
Graph unlearning emerges as a crucial advancement in the pursuit of responsible AI,
providing the means to remove sensitive data traces from trained models, thereby upholding …
providing the means to remove sensitive data traces from trained models, thereby upholding …
Novel design of Morlet wavelet neural network for solving second order Lane–Emden equation
In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …
On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective
MR HabibAgahi, MAMA Kermani… - Expert Systems with …, 2022 - Elsevier
As a noticeable focal point in the field of analysis tools, Social Network Analysis (SNA) has
received much interest to model real-world phenomena in a variety of domains, eg, research …
received much interest to model real-world phenomena in a variety of domains, eg, research …
Towards a taxonomy of waste management research: An application of community detection in keyword network
Our global environment is facing significant waste and waste management challenges,
despite minor differences in definitions and what constitutes waste. In recent decades, waste …
despite minor differences in definitions and what constitutes waste. In recent decades, waste …
Community detection in large-scale social networks: state-of-the-art and future directions
Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …
are concerned with discovering the structure of the social network. Detecting communities is …
[HTML][HTML] Design of intelligent computing solver with Morlet wavelet neural networks for nonlinear predator–prey model
The design of integrated intelligent computing solver with Morlet wavelet neural networks
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …