PEGA: A privacy-preserving genetic algorithm for combinatorial optimization

B Zhao, WN Chen, FF Wei, X Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Evolutionary algorithms (EAs), such as the genetic algorithm (GA), offer an elegant way to
handle combinatorial optimization problems (COPs). However, limited by expertise and …

Differential privacy-preserving IoT data sharing through enhanced PSO

L Dhavamani, D Ananthavadivel… - Journal of Computer …, 2024 - Taylor & Francis
With the proliferation of Internet of Things (IoT) devices and the generation of massive
amounts of sensitive data, preserving privacy while enabling data sharing has become a …

Multifactorial Evolutionary Deep Reinforcement Learning for Multitask Node Combinatorial Optimization in Complex Networks

L Ma, L Xu, X Fan, L Li, Q Lin, J Li, M Gong - Information Sciences, 2025 - Elsevier
The node combinatorial optimization (NCO) tasks in complex networks aim to activate a set
of influential nodes that can maximally affect the network performance under certain …

Self-Paced Multi-Scale Joint Feature Mapper for Multi-Objective Change Detection in Heterogeneous Images

Y Wang, K Dang, R Yang, Q Song, H Li, M Gong - Remote Sensing, 2024 - mdpi.com
Heterogeneous image change detection is a very practical and challenging task because
the data in the original image have a large distribution difference and the labeled samples of …

Multi-Objective Automatic Clustering Algorithm Based on Evolutionary Multi-Tasking Optimization

Y Wang, K Dang, R Yang, L Li, H Li, M Gong - Electronics, 2024 - mdpi.com
Data mining technology is the process of extracting hidden knowledge and potentially useful
information from a large number of incomplete, noisy, and random practical application data …

Evolutionary Competition Multitasking Optimization with Online Resource Allocation for Endmemeber Extraction of Hyperspectral Images

Y Shang, Q Wang, W Zhu, F Xie, H Wang, L Li - Electronics, 2024 - mdpi.com
Hyperspectral remote sensing images typically have mixed rather than pure pixels.
Endmember extraction aims to find a group of endmembers to represent the original image …

Object Detection, Segmentation and Categorization in Artificial Intelligence.

H Li, F Xie, J Zhou, J Liu - Electronics (2079-9292), 2024 - search.ebscohost.com
The article discusses the importance of object detection, segmentation, and categorization in
computer vision. These tasks are crucial for interpreting visual data and are widely used in …