An Advanced Genetic Algorithm with Improved Support Vector Machine for Multi-Class Classification of Real Power Quality Events

Electric Power Systems Research ◽

10.1016/j.epsr.2020.106879 ◽

2021 ◽

Vol 191 ◽

pp. 106879

Author(s):

Rahul ◽

Bharat Choudhary

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Power Quality ◽

Support Vector ◽

Multi Class Classification ◽

Improved Support Vector Machine

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Application of Support Vector Machine Of Quantum Genetic Algorithm With Gauss Initialization In Multi-Class Classification

2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing ◽

10.1109/iccwamtip47768.2019.9067652 ◽

2019 ◽

Author(s):

CHI ZHANG ◽

DAN LI ◽

HAO-YANG LI ◽

LAN-FEI MA ◽

JIA-YI SONG ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Quantum Genetic Algorithm ◽

Multi Class Classification

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Classification of urban vegetation patterns from hyperspectral imagery: hybrid algorithm based on genetic algorithm tuned fuzzy support vector machine

Optical Engineering ◽

10.1117/1.oe.51.11.111709 ◽

2012 ◽

Vol 51 (11) ◽

pp. 111709 ◽

Author(s):

Mandi Zhou

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Hybrid Algorithm ◽

Hyperspectral Imagery ◽

Support Vector ◽

Urban Vegetation ◽

Vegetation Patterns ◽

Fuzzy Support Vector Machine

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Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm

Environmental Science and Pollution Research ◽

10.1007/s11356-018-3533-6 ◽

2018 ◽

Vol 25 (35) ◽

pp. 35693-35706 ◽

Author(s):

Mitra Rahgoshay ◽

Sadat Feiznia ◽

Mehran Arian ◽

Seyed Ali Asghar Hashemi

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Suspended Sediment ◽

Support Vector Machine Model ◽

Sediment Load ◽

Support Vector ◽

Suspended Sediment Load ◽

Machine Model ◽

Improved Support Vector Machine

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Classification of power quality disturbances in distribution systems using two Mathematical Morpological Filters and multiclass support vector machine

2019 24th Electrical Power Distribution Conference (EPDC) ◽

10.1109/epdc.2019.8903755 ◽

2019 ◽

Author(s):

Siavash Shadpey

Keyword(s):

Support Vector Machine ◽

Power Quality ◽

Distribution Systems ◽

Support Vector ◽

Multiclass Support Vector Machine ◽

Power Quality Disturbances

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Improved Support Vector Machine Oil Price Forecast Model Based on Genetic Algorithm Optimization Parameters

AASRI Procedia ◽

10.1016/j.aasri.2012.06.082 ◽

2012 ◽

Vol 1 ◽

pp. 525-530 ◽

Author(s):

Xiaopeng Guo ◽

DaCheng Li ◽

Anhui Zhang

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Forecast Model ◽

Oil Price ◽

Support Vector ◽

Algorithm Optimization ◽

Genetic Algorithm Optimization ◽

Price Forecast ◽

Optimization Parameters ◽

Improved Support Vector Machine

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Support vector machine integrated with game-theoretic approach and genetic algorithm for the detection and classification of malware

2013 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/glocomw.2013.6824988 ◽

2013 ◽

Author(s):

Mikhail Zolotukhin ◽

Timo Hamalainen

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Theoretic Approach ◽

Game Theoretic ◽

Game Theoretic Approach

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A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine

Interdisciplinary Sciences Computational Life Sciences ◽

10.1007/s12539-016-0183-6 ◽

2016 ◽

Vol 10 (2) ◽

pp. 244-250

Author(s):

Divya Anand ◽

Babita Pandey ◽

Devendra K. Pandey

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Radial Basis Function ◽

Basis Function ◽

Selection Model ◽

Support Vector ◽

Bhattacharyya Coefficient ◽

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Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm

BMC Bioinformatics ◽

10.1186/1471-2105-11-325 ◽

2010 ◽

Vol 11 (1) ◽

pp. 325 ◽

Author(s):

Zhanchao Li ◽

Xuan Zhou ◽

Zong Dai ◽

Xiaoyong Zou

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

G Protein ◽

G Protein Coupled Receptors ◽

Support Vector ◽

G Protein Coupled

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Tracing the real power transfer of individual generators to loads using Least Squares Support Vector Machine with Continuous Genetic Algorithm

International Conference on Electrical, Control and Computer Engineering 2011 (InECCE) ◽

10.1109/inecce.2011.5953853 ◽

2011 ◽

Author(s):

Mohd Wazir Mustafa ◽

Saifulnizam Abd. Khalid ◽

Omar Aliman ◽

Mohd Herwan Sulaiman ◽

Siti Rafidah Abd Rahim ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Least Squares ◽

Support Vector ◽

Power Transfer ◽

The Real ◽

Continuous Genetic Algorithm

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Detection and Classification of Watermelon Seeds Exterior Quality Based on LS-SVM Using Machine Vision

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.278-280.727 ◽

2013 ◽

Vol 278-280 ◽

pp. 727-730

Author(s):

Xiai Chen ◽

Shuang Ke ◽

Ling Wang

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Machine Vision ◽

Vision System ◽

Least Square ◽

Support Vector ◽

Machine Vision System ◽

High Quality ◽

Surface Irregularities

A machine vision system was developed to investigate the detection of watermelon seeds exterior quality. The main characteristics of watermelon seeds appearance including area, perimeter, roughness and minimum enclosing rectangle were calculated by image analysis. Least square support vector machine optimized by genetic algorithm was applied for the classification of watermelon seeds exterior quality, and the broken seeds, normal seeds and high-quality seeds were distinguished finally. The surface irregularities defects of watermelon seeds were detected by machine vision grid laser. The experimental results show that the watermelon seeds exterior quality could be well detected and classified by machine vision based on least squares support vector machine.

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