A Multi-objective Genetic Algorithm Based Approach for Effective Intrusion Detection Using Neural Networks

Intelligent Methods for Cyber Warfare - Studies in Computational Intelligence ◽

10.1007/978-3-319-08624-8_8 ◽

2014 ◽

pp. 173-200 ◽

Author(s):

Gulshan Kumar ◽

Krishan Kumar

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Intrusion Detection ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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Simultaneous optimization of thermal and electrical conductivity of high density polyethylene-carbon particle composites by artificial neural networks and multi-objective genetic algorithm

Computational Materials Science ◽

10.1016/j.commatsci.2021.110956 ◽

2022 ◽

Vol 201 ◽

pp. 110956

Author(s):

Miguel García-Carrillo ◽

Adriana B. Espinoza-Martínez ◽

Luis F. Ramos-de Valle ◽

Saúl Sánchez-Valdés

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Electrical Conductivity ◽

Artificial Neural Networks ◽

High Density Polyethylene ◽

Carbon Particle ◽

High Density ◽

Simultaneous Optimization ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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Multi-criteria optimization of neural networks using multi-objective genetic algorithm

2017 Intelligent Systems and Computer Vision (ISCV) ◽

10.1109/isacv.2017.8054962 ◽

2017 ◽

Author(s):

Senhaji Kaoutar ◽

Ettaouil Mohamed

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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An Ensemble Approach to Intrusion Detection Based on Improved Multi-Objective Genetic Algorithm

Journal of Software ◽

10.1360/jos181369 ◽

2007 ◽

Vol 18 (4) ◽

pp. 1369 ◽

Author(s):

Yan YU

Keyword(s):

Genetic Algorithm ◽

Intrusion Detection ◽

Multi Objective ◽

Ensemble Approach ◽

Multi Objective Genetic Algorithm

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Applying artificial neural networks and multi-objective genetic algorithm to modeling and optimization of energy inputs and greenhouse gas emissions for peanut production

International Journal of Biosciences (IJB) ◽

10.12692/ijb/4.7.170-183 ◽

2014 ◽

pp. 170-183

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Gas Emissions ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Energy Inputs ◽

Peanut Production

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New methodology for the construction of best theory diagrams using neural networks and multi-objective genetic algorithm

Composites Part B Engineering ◽

10.1016/j.compositesb.2019.107126 ◽

2019 ◽

Vol 176 ◽

pp. 107126

Author(s):

J.L. Mantari ◽

J. Yarasca ◽

F.G. Canales ◽

R.A. Arciniega

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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The Use of Multi-Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

International Journal of Intelligence Science ◽

10.4236/ijis.2012.224016 ◽

2012 ◽

Vol 02 (04) ◽

pp. 115-127 ◽

Author(s):

Gulshan Kumar ◽

Krishan Kumar

Keyword(s):

Genetic Algorithm ◽

Intrusion Detection ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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Statistical modeling and optimization of resistance spot welding process parameters using neural networks and multi-objective genetic algorithm

Journal of Intelligent Manufacturing ◽

10.1007/s10845-014-0891-x ◽

2014 ◽

Vol 27 (3) ◽

pp. 549-559 ◽

Author(s):

Hamed Pashazadeh ◽

Yousof Gheisari ◽

Mohsen Hamedi

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Statistical Modeling ◽

Process Parameters ◽

Resistance Spot Welding ◽

Spot Welding ◽

Welding Process ◽

Multi Objective ◽

Resistance Spot ◽

Multi Objective Genetic Algorithm

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A Two-Phase Cycle Algorithm Based on Multi-objective Genetic Algorithm and Modified BP Neural Network for Effective Cyber Intrusion Detection

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62223-7_7 ◽

2020 ◽

pp. 73-88

Author(s):

Yiguang Gong ◽

Yunping Liu ◽

Chuanyang Yin ◽

Zhiyong Fan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Intrusion Detection ◽

Bp Neural Network ◽

Two Phase ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

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Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks

Environmental Modelling & Software ◽

10.1016/j.envsoft.2008.09.013 ◽

2009 ◽

Vol 24 (4) ◽

pp. 530-541 ◽

Author(s):

Kourosh Behzadian ◽

Zoran Kapelan ◽

Dragan Savic ◽

Abdollah Ardeshir

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Sampling Design ◽

Stochastic Sampling ◽

Multi Objective ◽

Adaptive Neural Networks ◽

Multi Objective Genetic Algorithm

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Evolving Quantized Neural Networks for Image Classification Using A Multi-Objective Genetic Algorithm

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413519 ◽

2021 ◽

Author(s):

Yong Wang ◽

Xiaojing Wang ◽

Xiaoyu He

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Image Classification ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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