P2P Traffic Identification Using Support Vector Machine and Cuckoo Search Algorithm Combined with Particle Swarm Optimization Algorithm

Frontiers in Internet Technologies - Communications in Computer and Information Science ◽

10.1007/978-3-662-46826-5_10 ◽

2015 ◽

pp. 118-132 ◽

Cited By ~ 1

Author(s):

Zhiwei Ye ◽

Mingwei Wang ◽

Chunzhi Wang ◽

Hui Xu

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Support Vector ◽

Swarm Optimization ◽

Traffic Identification

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Shape optimization of GFRP elastic gridshells by the weighted Lagrange ε-twin support vector machine and multi-objective particle swarm optimization algorithm considering structural weight

Structures ◽

10.1016/j.istruc.2021.05.077 ◽

2021 ◽

Vol 33 ◽

pp. 2066-2084

Author(s):

Soheila Kookalani ◽

Bin Cheng ◽

Sheng Xiang

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Shape Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Twin Support Vector Machine ◽

Support Vector ◽

Swarm Optimization ◽

Multi Objective

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Fault diagnosis of sensor by chaos particle swarm optimization algorithm and support vector machine

Expert Systems with Applications ◽

10.1016/j.eswa.2011.02.043 ◽

2011 ◽

Vol 38 (8) ◽

pp. 9908-9912 ◽

Cited By ~ 31

Author(s):

Zhao Chenglin ◽

Sun Xuebin ◽

Sun Songlin ◽

Jiang Ting

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization

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Image reconstruction for an electrical capacitance tomography system based on a least-squares support vector machine and a self-adaptive particle swarm optimization algorithm

Measurement Science and Technology ◽

10.1088/0957-0233/22/10/104008 ◽

2011 ◽

Vol 22 (10) ◽

pp. 104008 ◽

Cited By ~ 8

Author(s):

Xia Chen ◽

Hong-li Hu ◽

Fei Liu ◽

Xiang Xiang Gao

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Support Vector ◽

Electrical Capacitance Tomography ◽

Electrical Capacitance ◽

Swarm Optimization ◽

Tomography System ◽

Capacitance Tomography

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Vehicle Fuel Consumption Prediction Based on Least Squares Support Vector Machine Optimized by Improved Particle Swarm Optimization Algorithm

Lecture Notes in Electrical Engineering - Proceedings of the 19th Asia Pacific Automotive Engineering Conference & SAE-China Congress 2017: Selected Papers ◽

10.1007/978-981-10-8506-2_75 ◽

2018 ◽

pp. 1109-1118

Author(s):

Yu Liu ◽

Mengliang Li ◽

Yueyun Xu ◽

Guo Jinwei

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Least Squares ◽

Fuel Consumption ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Support Vector ◽

Swarm Optimization ◽

Improved Particle Swarm Optimization ◽

Consumption Prediction

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QSAR modeling of peptide biological activity by coupling support vector machine with particle swarm optimization algorithm and genetic algorithm

Journal of Molecular Graphics and Modelling ◽

10.1016/j.jmgm.2010.06.002 ◽

2010 ◽

Vol 29 (2) ◽

pp. 188-196 ◽

Cited By ~ 21

Author(s):

Xuan Zhou ◽

Zhanchao Li ◽

Zong Dai ◽

Xiaoyong Zou

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Biological Activity ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Support Vector ◽

Qsar Modeling ◽

Swarm Optimization ◽

Coupling Support

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Blasting vibration velocity prediction based on least squares support vector machine with particle swarm optimization algorithm

Geosystem Engineering ◽

10.1080/12269328.2019.1607570 ◽

2019 ◽

Vol 22 (5) ◽

pp. 279-288

Author(s):

Qing Yuan ◽

Shihong Zhai ◽

Li Wu ◽

Peishuai Chen ◽

Yuchun Zhou ◽

...

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Least Squares ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Vibration Velocity ◽

Support Vector ◽

Blasting Vibration ◽

Swarm Optimization ◽

Velocity Prediction

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A short-term load forecasting approach based on support vector machine with adaptive particle swarm optimization algorithm

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5192275 ◽

2009 ◽

Cited By ~ 2

Author(s):

Huang Yue ◽

Li Dan ◽

Gao Liqun ◽

Wang Hongyuan

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Load Forecasting ◽

Support Vector ◽

Short Term ◽

Swarm Optimization ◽

Adaptive Particle Swarm Optimization ◽

Short Term Load Forecasting

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A Combination of Modified Particle Swarm Optimization Algorithm and Support Vector Machine for Pattern Classification

2009 Third International Symposium on Intelligent Information Technology Application ◽

10.1109/iita.2009.149 ◽

2009 ◽

Cited By ~ 2

Author(s):

Zhiming Liu ◽

Cheng Wang ◽

Shanzhen Yi

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Pattern Classification ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Modified Particle Swarm Optimization

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A reliability forecasting method for distribution systems based on support vector machine with chaotic particle swarm optimization algorithm

2013 48th International Universities' Power Engineering Conference (UPEC) ◽

10.1109/upec.2013.6714983 ◽

2013 ◽

Cited By ~ 1

Author(s):

Z. Y. Li ◽

Z. Y. Xu ◽

H. C. Ye ◽

Z. Q. Wang

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Distribution Systems ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Forecasting Method ◽

Chaotic Particle Swarm Optimization

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Test Case Optimization and Prioritization Using Improved Cuckoo Search and Particle Swarm Optimization Algorithm

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.6.20489 ◽

2018 ◽

Vol 7 (4.6) ◽

pp. 275

Author(s):

Chandrasekhara Reddy T ◽

Srivani V ◽

A. Mallikarjuna Reddy ◽

G. Vishnu Murthy

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Heuristic Algorithms ◽

Search Algorithm ◽

Particle Swarm ◽

Cuckoo Search ◽

Test Suite ◽

Swarm Optimization ◽

Cuckoo Algorithm

For minimized t-way test suite generation (t indicates more strength of interaction) recently many meta-heuristic, hybrid and hyper-heuristic algorithms are proposed which includes Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), Genetic Algorithms (GA), Simulated Annealing (SA), Cuckoo Search (CS), Harmony Elements Algorithm (HE), Exponential Monte Carlo with counter (EMCQ), Particle Swarm Optimization (PSO), and Choice Function (CF). Although useful strategies are required specific domain knowledge to allow effective tuning before good quality solutions can be obtained. In our proposed technique test cases are optimized by utilizing Improved Cuckoo Algorithm (ICSA). At that point, the advanced experiments are organized or prioritized by utilizing Particle Swarm Optimization algorithm (PSO). The Particle Swarm Optimization and Improved Cuckoo Algorithm (PSOICSA) estimation is a blend of Improved Cuckoo Search Algorithm(ICSA) and Particle Swarm Optimization (PSO). PSOICSA could be utilized to advance the test suite, and coordinate both ICSA and PSO for a superior outcome, when contrasted with their individual execution as far as experiment improvement.

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