Article
Computer Science, Artificial Intelligence
Warda M. Shaban
Summary: Breast cancer is a common disease that affects females worldwide and is a leading cause of death. This paper presents a new patient detection strategy to identify breast cancer patients earlier, using a hybrid feature selection method called NHFSM. NHFSM combines the advantages of bat algorithm and particle swarm optimization, improving the efficiency of patient classification compared to existing methods.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen
Summary: Community structure plays a crucial role in social networks, but the increasing efficiency of community detection algorithms has raised concerns about privacy disclosure. This paper proposes a strategy, named CGN, to attack community detection algorithms by hiding the community structure through invisible disturbances. The algorithm achieves privacy protection by adding and removing a small number of connections. Experimental results demonstrate that CGN outperforms other baseline algorithms in reducing normalized mutual information (NMI). Furthermore, the modified network obtained by CGN shows remarkable hiding effects when applied to different community detection algorithms.
INFORMATION SCIENCES
(2022)
Article
Physics, Fluids & Plasmas
Tiago P. Peixoto
Summary: We propose a method for inferring community structure in directed networks with an ordered hierarchical structure, utilizing a modified stochastic block model. Our approach combines ordered hierarchies with arbitrary mixing patterns between groups and includes directed degree correction to distinguish between nonlocal hierarchical structure and local in-and-out-degree imbalance. We demonstrate the application of our method on various empirical networks in different domains.
Article
Automation & Control Systems
Tao Liu, Dongyu Han, Yeming Lin, Kun Liu
Summary: This paper proposes a model-based distributed algorithm to minimize the energy consumption of a multi-UAV system, where each UAV obtains its trajectory by solving a corresponding subproblem and coordinates with other UAVs according to a master problem. The algorithm achieves exact convergence over directed networks and provides an upper bound on the residual of the cost function.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Chemical
Leila Samandari Masooleh, Jeffrey E. Arbogast, Warren D. Seider, Ulku Oktem, Masoud Soroush
Summary: The algorithm detects community structures in a weighted network by solving a multi-objective optimization problem, adopting the concept of non-dominated sorting to identify Pareto optimal community configurations.
Article
Computer Science, Information Systems
Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng
Summary: A parallel multi-objective EA, PMOEA, is proposed for community detection in large-scale networks, detecting communities associated with key network nodes simultaneously; experimental results on large-scale synthetic benchmark networks and real-world networks demonstrate the superiority of PMOEA over six EA-based and two non-EA-based algorithms.
INFORMATION SCIENCES
(2021)
Article
Instruments & Instrumentation
Hadi Shahraki, Shokoufeh Aalaei, Saed Moradi
Summary: A new method for detecting small targets in infrared images based on the particle swarm optimization algorithm is introduced. The dynamic particle swarm detector (DPSD) outperforms baseline algorithms in terms of efficiency.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Statistics & Probability
Jingnan Zhang, Xin He, Junhui Wang
Summary: This article introduces a novel method for network embedding and community detection in directed networks, which encourages community structure among node representations through a new regularization term, resulting in better performance.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2022)
Article
Automation & Control Systems
Qingguo Lu, Xiaofeng Liao, Huaqing Li, Tingwen Huang
Summary: This article focuses on dealing with distributed optimization over a directed network using a method called D-DNGT, which integrates gradient tracking into the Nesterov method with nonuniform step-sizes. Numerical experiments show that D-DNGT can converge linearly to the optimal solution under certain conditions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Xiangyi Teng, Jing Liu, Mingming Li
Summary: Detecting overlapping communities in attributed networks is challenging. In this article, a multiobjective evolutionary algorithm based on attribute similarity was proposed to effectively find overlapping community structures with practical significance.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Geochemistry & Geophysics
Meiping Song, Shihui Liu, Dayong Xu, Haoyang Yu
Summary: Band selection is crucial for hyperspectral image applications, and traditional methods struggle with balancing conflicting objectives. Multiobjective optimization band selection techniques have shown to improve efficiency and accuracy by considering different objectives separately. The proposed algorithm, TOMOBS, with a target-oriented approach, is effective for target detection and outperforms state-of-the-art methods in providing a subset of bands with strong representational capability.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong
Summary: The paper proposes an efficient and effective multi-objective method, DYN-MODPSO, which addresses the issues in dynamic community detection by enhancing the traditional evolutionary clustering framework and particle swarm algorithm. The novel strategy and carefully designed operators contribute to the method's superior performance on both real and synthetic dynamic networks, outperforming competitors in terms of effectiveness and efficiency.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Malik Braik, Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Abdelaziz I. Hammouri, Omar A. Alzubi
Summary: This paper presents three adaptive versions of the capuchin search algorithm (CSA) for selecting optimal feature subset based on a binary version of each adapted one and the k-Nearest Neighbor (k-NN) classifier. The results show that the proposed methods outperform other k-NN based feature selection methods in terms of classification accuracy, specificity, sensitivity, and fitness values.
COGNITIVE COMPUTATION
(2023)
Article
Physics, Multidisciplinary
Jing Xiao, Xiao-ke Xu
Summary: This review provides an overview of two emerging research directions in complex network analysis - fuzzy and higher-order community detection. It covers related concepts, mathematical descriptions, latest advancements, current challenges, and future directions.
Article
Computer Science, Artificial Intelligence
Haiping Ma, Zhenjie Liu, Xingyi Zhang, Lei Zhang, Hao Jiang
Summary: The paper proposed a dual-population-based multi-objective evolutionary algorithm, DP-MOEA, for community detection in attributed networks, aiming to balance topology structure and node attribute. Experimental results show the superior performance of the proposed DP-MOEA over eight state-of-art evolutionary algorithms, especially when dealing with unclear community structure or heterogeneous node attributes within one community.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Xiaolong Deng, Yingtong Dou, Tiejun Lv, Quoc Viet Hung Nguyen
Article
Computer Science, Information Systems
Xiao Long Deng, Yin Luan Yu, Dan Huai Guo, Ying Tong Dou
Review
Agriculture, Multidisciplinary
Xiaolong Deng, Yingtong Dou, Dawei Hu
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2018)
Article
Mathematics, Interdisciplinary Applications
Xiaolong Deng, Hao Ding, Yong Chen, Cai Chen, Tiejun Lv