research-article

Multi-objective optimization of community detection using discrete teaching-learning-based optimization with decomposition

Authors:

Jiangtao WangAuthors Info & Claims

Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 369, Issue C

Pages 402 - 418

https://doi.org/10.1016/j.ins.2016.06.025

Published: 10 November 2016 Publication History

Abstract

Community detection has been an active field of study in complex network analysis in recent years. It can be modeled as a seriously nonlinear optimization problem. Many intelligent optimization techniques have shown promising results for this problem. The teaching-learning-based optimization (TLBO) algorithm is a recently proposed swarm intelligent algorithm. In this paper, a discrete variant of TLBO (DTLBO) is proposed to address discrete optimization problems. In the proposed method, the learner representation scheme is redefined, and the updating rules for learners are also redesigned. Moreover, based on the proposed discrete variant DTLBO, a multi-objective discrete method (MODTLBO/D) is proposed to solve community detection problems for complex networks. The multi-objective decomposition mechanism is adopted and neighbor-based mutation is introduced to maintain the diversity of the population and avoid being trapped in the local optima. Finally, to verify the performance of the proposed algorithm, real-world networks are examined. The experimental results indicate that MODTLBO/D is effective compared with other algorithms used for community detection in complex networks.

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Cited By

Aslan MKoç İ(2024)Modified Coot bird optimization algorithm for solving community detection problem in social networksNeural Computing and Applications10.1007/s00521-024-09567-436:10(5595-5619)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00521-024-09567-4
Zhang LYang HYang SZhang X(2023)A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]IEEE Computational Intelligence Magazine10.1109/MCI.2023.327777318:3(69-86)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/MCI.2023.3277773
Aouadj WAbdessemed MSeghir R(2021)Discrete Large-scale Multi-Objective Teaching-Learning-Based Optimization AlgorithmProceedings of the 4th International Conference on Networking, Information Systems & Security10.1145/3454127.3456609(1-6)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1145/3454127.3456609
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cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 369, Issue C

November 2016

791 pages

ISSN:0020-0255

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Copyright © Elsevier Inc.

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Elsevier Science Inc.

United States

Publication History

Published: 10 November 2016

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Cited By

Aslan MKoç İ(2024)Modified Coot bird optimization algorithm for solving community detection problem in social networksNeural Computing and Applications10.1007/s00521-024-09567-436:10(5595-5619)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00521-024-09567-4
Zhang LYang HYang SZhang X(2023)A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]IEEE Computational Intelligence Magazine10.1109/MCI.2023.327777318:3(69-86)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/MCI.2023.3277773
Aouadj WAbdessemed MSeghir R(2021)Discrete Large-scale Multi-Objective Teaching-Learning-Based Optimization AlgorithmProceedings of the 4th International Conference on Networking, Information Systems & Security10.1145/3454127.3456609(1-6)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1145/3454127.3456609
Luo YZhang KYang HLiu FLuo SZhang LSun X(2021)A Reduced Mixed Representation Based Multi-Objective Evolutionary Algorithm for Large-Scale Overlapping Community Detection2021 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC45853.2021.9504894(2435-2442)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1109/CEC45853.2021.9504894
Su YZhou KZhang XCheng RZheng C(2021)A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networksInformation Sciences: an International Journal10.1016/j.ins.2021.06.089576:C(374-392)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.ins.2021.06.089
Tautenhain CNascimento M(2020)An ensemble based on a bi-objective evolutionary spectral algorithm for graph clusteringExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112911141:COnline publication date: 1-Mar-2020
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Wang XXing KYan CZhou MDomingo R(2019)A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing SystemsComplexity10.1155/2019/57341492019Online publication date: 2-Jun-2019
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?Alik K?Alik B(2018)Multi-objective evolutionary algorithm using problem-specific genetic operators for community detection in networksNeural Computing and Applications10.1007/s00521-017-2884-030:9(2907-2920)Online publication date: 1-Nov-2018
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Reihanian AFeizi-Derakhshi MAghdasi H(2017)Community detection in social networks with node attributes based on multi-objective biogeography based optimizationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2017.03.00762:C(51-67)Online publication date: 1-Jun-2017
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