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An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes [article]

Ali Reihanian, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi
2021 arXiv   pre-print
communities in a social network with node attributes with synchronously considering the density of connections and the similarity of nodes' attributes in the network.  ...  In order to solve this problem, an evolutionary algorithm called MOBBO-OCD, which is based on multi-objective biogeography-based optimization (BBO), is proposed in this paper to automatically find overlapping  ...  [12] proposed a multi-objective discrete biogeography-based optimization algorithm to find non-overlapping communities of social networks with node attributes.  ... 
arXiv:1811.02309v2 fatcat:6nw42z73a5dnnmm5qnxcqzmssu

Review of Community Detection over Social Media:Graph Prospective

Pranita Jain, Deepak Singh
2019 International Journal of Advanced Computer Science and Applications  
Recently researchers focused on group-based algorithm and member-based algorithm for community detection over social media.  ...  This paper presents comprehensive overview of community detection technique based on recent research and subsequently explores graphical prospective of social media mining and social theory (Balance theory  ...  Xu Zhou [25] proposed an optimized Biogeography based Community detection approach over dynamic network.  ... 
doi:10.14569/ijacsa.2019.0100274 fatcat:66sh2n3honb67kictrdlskarpe

Multi-Objective Evolutionary Algorithms to Find Community Structures in Large Networks

Manuel Guerrero, Consolación Gil, Francisco G. Montoya, Alfredo Alcayde, Raúl Baños
2020 Mathematics  
Community detection in networks has become an emerging area of investigation in recent years, but most papers aim to solve single-objective formulations, often focused on optimizing structural metrics,  ...  This paper opens a new avenue of research in the study of multi-objective variants of the classical community detection problem by applying multi-objective evolutionary algorithms that simultaneously optimize  ...  In [30] , a Multi-objective Biogeography-based Optimization Algorithm with Decomposition (MBBOD) was presented to simultaneously optimize modularity and a metric that measures the similarity of attributes  ... 
doi:10.3390/math8112048 fatcat:uuznrjahbvfwbj5mtjyrhojnea

IEEE Access Special Section Editorial: Urban Computing and Intelligence

Rongbo Zhu, Lu Liu, Maode Ma, Hongxiang Li, Shiwen Mao
2021 IEEE Access  
and energy management, and so on, to cope with challenges in the real world.  ...  In the article "CAD: Command-level anomaly detection for vehicle-road collaborative charging network," by Li et al., the authors discuss charging piles installed on roadside parking spaces and smart poles  ...  RONGBO ZHU, Lead Editor LU LIU received the M.Sc. degree in data communication systems from Brunel University and the Ph.D. degree from the University of Surrey (funded by DIF DTC).  ... 
doi:10.1109/access.2021.3111669 fatcat:qmiy5ngnyvfcvbe5is7estlfou

Swarm Intelligence Techniques to improve lifetime of Wireless Sensor Networks

Brahm Prakash Dahiya, Shewta Rani, Pramjeet Singh
2018 Signals and Telecommunication  
Here, we will discuss many SI techniques such that Ant Colony Optimization (ACO), Elephant swarm Optimization (ESO), Hnee based optimization (HBO) and Particle Swarm Optimization (PSO) to make network  ...  Node deployment, limited energy capacity, location of sensor devices, Quality of Services (QoS) and data aggregation are the critical design challenges in WSNs.  ...  Particle swarm optimal is proposed based on quantum to enhance the location accurateness of sensor nodes in WSNs.  ... 
doi:10.6025/stj/2018/7/2/63-75 fatcat:vsa36u6gcncibmnrhzod6hnbe4

Exploration of an Interdisciplinary Scientific Landscape [article]

Juste Raimbault
2017 arXiv   pre-print
We collect a large corpus of around 200,000 articles with their abstracts and the corresponding citation network that provides a first citation classification.  ...  This paper studies as a case study the scientific environment of a generalist journal in Geography, Cybergeo, in order to introduce a novel methodology combining citation network analysis and semantic  ...  Acknowledgements The author would like to thank the editorial board of Cybergeo, and more particularly Denise Pumain and Christine Kosmopoulos, for having offered the opportunity to work on that subject  ... 
arXiv:1712.00805v1 fatcat:weqntsxcijfijp73vx7s3vxddu

Brief Review of Computational Intelligence Algorithms [article]

Satyarth Vaidya, Arshveer Kaur, Lavika Goel
2019 arXiv   pre-print
Computational Intelligence algorithms have gained a lot of attention of researchers in the recent years due to their ability to deliver near optimal solutions.  ...  Biogeography Based Optimization [20] is a living multi-agent time-space invariant population based evolutionary algorithm based on the migration, speciation, and extinction of species.  ...  Grey Wolf Optimization [28] is a living multi agent based on the leadership ranking and hunting behavior of grey wolves for single objective optimization problems.  ... 
arXiv:1901.00983v3 fatcat:hpesiwjf6zfu3ico77uxmnzcze

Hybridizing Adaptive Biogeography-Based Optimization with Differential Evolution for Multi-Objective Optimization Problems

Siling Feng, Ziqiang Yang, Mengxing Huang
2017 Information  
In order to improve the performance of optimization, we apply a hybridization of adaptive biogeography-based optimization (BBO) algorithm and differential evolution (DE) to multi-objective optimization  ...  Motivated by the work in [11, 12] , we hybridize adaptive BBO with DE to design a new algorithm for multi-objective optimization problems.  ...  approach [38] , indoor wireless heterogeneous networks planning [39] , automated warehouse scheduling [40] , and community detection in social networks with node attributes [41] .  ... 
doi:10.3390/info8030083 fatcat:ckvtz57b2zb2vn65br2q2ssnxu

Data mining techniques and applications – A decade review from 2000 to 2011

Shu-Hsien Liao, Pei-Hui Chu, Pei-Yuan Hsiao
2012 Expert systems with applications  
Modern use of the term often refers to artificial neural networks, which are composed of artificial neurons, or nodes.  ...  A discussion deals with the direction of any future developments in DMT methodologies and applications: (1) DMT is finding increasing applications in expertise orientation and the development of applications  ...  regression, analytical hierarchy processes, polynomial regression, biogeography based optimization, particle swarm optimization, finite element methods, discrete rough set methods, asymptotic methods  ... 
doi:10.1016/j.eswa.2012.02.063 fatcat:2ydn6gpclzac3kfwpeqkq5ezoa

A Survey of Various Algorithms Used on Multispectral Satellite Image Classification of Alwar Image Dataset

K. Joshil Raj, S. SivaSathya
2016 Indian Journal of Science and Technology  
The different classification approaches like per pixel, sub pixel, object based and knowledge based classification has been studied and categorized based on their usage.  ...  algorithm in different hybrid models with PSO and BBO.  ...  Biogeography Based Optimisation Biogeography-Based Optimization (BBO) is a global optimization algorithm developed by Dan Simon in 2008 18 .  ... 
doi:10.17485/ijst/2016/v9i45/105304 fatcat:bpv7getqejbvzgml5yom5awuya

An Intelligent Content Prefix Classification Approach for Quality of Service Optimization in Information-Centric Networking

Cutifa Safitri, Yoshihide Yamada, Sabariah Baharun, Shidrokh Goudarzi, Quang Ngoc Nguyen, Keping Yu, Takuro Sato
2018 Future Internet  
By simulation, the evaluation results show that the proposal outperforms EA and ML in terms of network resource utilization and response delay for QoS performance optimization.  ...  With the goal of enabling a complete ICN prefix classification solution, we also propose a hybrid implementation to optimize classification performances by integration of relevant AI algorithms.  ...  DE is a powerful search engine in single objective optimization, but its usage in multi-objective optimization still raises some issues, because the use of differential evolution in such problems requires  ... 
doi:10.3390/fi10040033 fatcat:woofmbhgfncvtj2rxndnd53okm

Grasshopper Optimization Algorithm: Theory, Variants, and Applications

Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, Amar Ramdane-Cherif
2021 IEEE Access  
It provides the GOA variants, including multi-objective and hybrid variants.  ...  This paper proposes a comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others.  ...  Her research interests include network design and communication, application of AI, machine learning, and meta-heuristics for multi-objective optimization and performance evaluation.  ... 
doi:10.1109/access.2021.3067597 fatcat:4deeotokfjb3dc2f4egf3qqymy

Computational intelligence anti-malware framework for android OS

Konstantinos Demertzis, Lazaros Iliadis
2017 Vietnam Journal of Computer Science  
The optimization is done by the employment of the biogeography-based optimizer algorithm.  ...  It manages to take full control of the device and to communicate (via the Tor network) with its Command & Control servers of fastflux botnets' networks to which it belongs.  ...  On the other hand, Cheng et al. [30] proposed the use of ELM methods to classify binary and multi-class network traffic for intrusion detection with high accuracy. Hsu et al.  ... 
doi:10.1007/s40595-017-0095-3 fatcat:xct6bjf4orgjto35kb5eebrqum

Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons

Emmanuel DADA, Stephen JOSEPH, David OYEWOLA, Alaba Ayotunde FADELE, Haruna CHİROMA, Shafi'i Muhammad ABDULHAMİD
This paper presents recent progress on Grey Wolf Optimization (GWO) algorithm, its variants and their applications, issues, and likely prospects.  ...  Such problems can be real-life, complicated and nonlinear optimization problems in different domain of human endeavour.  ...  of unidentified network nodes.  ... 
doi:10.35378/gujs.820885 fatcat:3eucl76a2vbrfmsxrde3dh3w74

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
Abstract: In this paper, an improved optimization approach, free search with double populations (FSDP) which is based on free search (FS) algorithm, is proposed. Comparing to FS 1 1Shanghai  ...  Network based simulation is playing an important role in information technology research fields.  ...  This paper explores the application of biogeography-based optimization (BBO) to attain such predictive work. BBO is a new evolutionary algorithm that is based on the science of biogeography.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m
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