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Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

Weizhen HU, Min JIANG, Xing Gao, Kay Chen TAN, Yiu-ming Cheung
2019 2019 IEEE Congress on Evolutionary Computation (CEC)  
A high-quality initial population will be generated by the ISVM classifier, and a variety of different types of population-based dynamic multi-objective optimization algorithms can benefit from the population  ...  , and the Regularity Model-based multi-objective estimation of distribution algorithm(RE-MEDA).  ...  INCREMENTAL SUPPORT VECTOR MACHINE BASED DYNAMIC MULTI-OBJECTIVE OPTIMIZATION ALGORITHM A dynamic multi-objective optimization problem is based on the fact that different environments follow different  ... 
doi:10.1109/cec.2019.8790005 dblp:conf/cec/HuJGTC19 fatcat:mmh2avcfv5enbacchofhshytdm

A Michigan memetic algorithm for solving the community detection problem in complex network

Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi
2016 Neurocomputing  
Community structure is an important feature in complex networks which has great significant for organization of networks.  ...  In this paper a michigan memetic algorithm; called MLAMA-Net; is proposed for solving the community detection problem.  ...  In [31] a multi-objective evolutionary algorithm, called MOCD, was proposed for community detection problem.  ... 
doi:10.1016/j.neucom.2016.06.030 fatcat:qpjxoct2ozckdo3d7tges2own4

Multi-Objective Community Detection Based on Memetic Algorithm

Peng Wu, Li Pan, Frederic Amblard
2015 PLoS ONE  
In this study, in order to identify multiple significant community structures more effectively, a multi-objective memetic algorithm for community detection is proposed by combining multi-objective evolutionary  ...  and adopt population-based evolutionary algorithms to obtain multiple community structures.  ...  Acknowledgments We thank the anonymous reviewers for their constructive comments and suggestions. Author Contributions  ... 
doi:10.1371/journal.pone.0126845 pmid:25932646 pmcid:PMC4416909 fatcat:cykf2d645raq7dgxsb7blrfxc4

Community Detection Based on Differential Evolution Using Social Spider Optimization

You-Hong Li, Jian-Qiang Wang, Xue-Jun Wang, Yue-Long Zhao, Xing-Hua Lu, Da-Long Liu
2017 Symmetry  
In community structure detection, optimization is based on the monotonic increase and the approximate maximum two characteristics of the Q function [30] .  ...  The similarity of nodes is defined as local fitness function; the community quality increment is used as a screening criterion for evolutionary operators.  ...  Introduction Community detection (CD) is a method of dividing a complex network into several sub-structures.  ... 
doi:10.3390/sym9090183 fatcat:tbd5oe4j4nenzl47r7g274c6ya

Incremental Machine Learning with Holographic Neural Theory for ATD/ATR

A. Jouan, V. Labbe
2006 2006 9th International Conference on Information Fusion  
With this objective in mind, this paper presents an assessment of the performances of the Holographic Neural Technology (AND Corporation) to support applications that would require incremental learning  ...  Machine learning has been used intensively since the past 30 years to discriminate pixels from background or objects of interest from other classes of objects by training on a set of relevant features.  ...  While the algorithm currently proposed for object recognition from components is based on machine learning engines, a matched filtering approach can as easily be designed.  ... 
doi:10.1109/icif.2006.301696 dblp:conf/fusion/JouanL06 fatcat:hhxgrvbv65hofeckpmas76mgt4

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Yiqiang Zhan, Dinggang Shen
2014 IEEE Transactions on Medical Imaging  
Deformable Registration [18]- [21] has been investigated in the community for many years as a way to align the corresponding structures between two images.  ...  Anatomy detection; image-guided radiotherapy (IGRT); incremental learning; machine learning; prostate segmentation Gao et al.  ...  (POP: Population-Based Learning; PPAT: Pure Patient-Specific Learning; MIX: Population and Patient-Specific Mixture Learning; IL: Incremental Learning Without Backward Pruning; ILSM: Proposed Incremental  ... 
doi:10.1109/tmi.2013.2291495 pmid:24495983 pmcid:PMC4379484 fatcat:xz2wbzdyxfcb3be4jylry7yja4

Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives [article]

Tian-Zhu Xiang, Gui-Song Xia, Liangpei Zhang
2018 arXiv   pre-print
community.  ...  Finally, some prospects for future work are discussed.  ...  camera A large dataset for object detection and tracking Deep CNN Figure 15 : Vehicle detection and traffic monitoring by UAVs based on deep learning [187] .  ... 
arXiv:1812.07770v2 fatcat:l4tdfpr55jbjvhxzi47lwrs2re

Editorial: Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction

Bin Fang, Cheng Fang, Li Wen, Poramate Manoonpong
2021 Frontiers in Neurorobotics  
Li et al. proposed a multi-modal incremental learning framework based on the teleoperation strategy to reduce the error between the reconstructed and expected trajectories, enabling the robot to accurately  ...  For detecting objects, a double projection error algorithm is proposed that combines texture and region constraints to achieve accurate feature classification in four different environments.  ...  ., China Joint Research Center for Industrial Intelligence and Internet of Things.  ... 
doi:10.3389/fnbot.2021.673659 pmid:33935677 pmcid:PMC8083979 fatcat:3sj3uhkdbrenzna35guyjbtwam

A survey on network community detection based on evolutionary computation

Qing Cai, Lijia Ma, Maoguo Gong, Dayong Tian
2016 International Journal of Bio-Inspired Computation (IJBIC)  
This paper presents a survey on evolutionary algorithms for network community detection. The evolutionary algorithms in this survey cover both single objective and multiobjective optimisations.  ...  For this reason, evolutionary algorithms have been adopted as a major tool for dealing with community detection problems.  ...  In Ma et al. (2014) the authors have put forward a three-level learning based Memetic algorithm for community detection.  ... 
doi:10.1504/ijbic.2016.076329 fatcat:slbyq3ssnfgipga32u3hf27vla

Structural Monitoring with Distributed-Regional and Event-based NN-Decision Tree Learning Using Mobile Multi-Agent Systems and Common Java Script Platforms

Stefan Bosse
2016 Procedia Technology - Elsevier  
Among the Internet-of-Things, one major field of application deploying agent-based sensor and information processing is Structural Load and Structural Health Monitoring (SLM/SHM) of mechanical structures  ...  JavaScript-based Agent Processing Platform (APP), and optimized Machine Learning (ML) methods providing load class recognition from a set of sensors embedded in the technical structure.  ...  Furthermore, DTL is suitable for incremental learning, i.e., an incremental refinement of the learned model at run-time by back propagating the already learned model and new data, not requiring to reuse  ... 
doi:10.1016/j.protcy.2016.08.063 fatcat:3jgiaympuvg5jgnlyovhw6zhxu

Recent Progress on Graph Partitioning Problems Using Evolutionary Computation [article]

Hye-Jin Kim, Yong-Hyuk Kim
2018 arXiv   pre-print
[12] proposed a link density-based multi-objective optimization model to solve a community detection problem. Also, a multi-objective PSO algorithm was presented to solve this model.  ...  Lastly, Zadeh and Kobti [22] developed a multi-population cultural algorithm using knowledge-based evolutionary computation to solve GPP-applied problems.  ... 
arXiv:1805.01623v1 fatcat:x6ww35oxpvfrpdy3m4c2znk6n4

Scanning the Issue

Petros Ioannou
2017 IEEE transactions on intelligent transportation systems (Print)  
about 10% in a multi-class data set.  ...  Furthermore, increased automation exacerbates any risk by increasing the opportunities for the adversary to implement a successful attack.  ...  An incremental learning algorithm is introduced to recognize the types of roads from remote sensing imagery.  ... 
doi:10.1109/tits.2017.2761518 fatcat:v3psiws5unerpnj5itc2ibv7zy

Selected Ph.D. Thesis Abstracts

Xin Li
2017 The IEEE intelligent informatics bulletin  
Among them, we focus on solving four important problems for community detection with different underlying structures.  ...  Based on this notion, we develop an overlapping community detection algorithm LinkSCAN * [1].  ... 
dblp:journals/cib/Li17 fatcat:3rekqnvlozdwjcyt4hs3uyipom

Guest EditorialIntroduction to the Special Section on Vehicular Networks in the Era of 6G: End-Edge-Cloud Orchestrated Intelligence

Yaoxue Zhang, Yongmin Zhang, Ju Ren, Jelena Misic, Antonia M. Tulino
2021 IEEE Transactions on Vehicular Technology  
Then, A model based on many-objective optimization is established for intrusion detection of CAN bus network.  ...  article "An Adversarial Attack Based on Incremental Learning Techniques for Unmanned in 6G Scenes" by Lv et al., proposes an adversarial attack based on incremental learning techniques for unmanned scenes  ... 
doi:10.1109/tvt.2021.3084829 fatcat:5aynenhicjfgxntjn5ctsg5ze4

Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm

Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
2021 2021 Digital Image Computing: Techniques and Applications (DICTA)  
In this study, we introduce a novel framework for non-stationary data stream classification problems by modifying the Genetic Algorithm to search for the optimal configuration of a streaming multi-layer  ...  First, we present Streaming Multi-layer Ensemble (SMiLE) -a novel classification algorithm for non stationary data streams which comprises multiple layers of different classifiers.  ...  the machine learning community.  ... 
doi:10.1109/dicta52665.2021.9647220 fatcat:ejdkknrrzjbrlnpz35kwkjaqsi
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