Artificial Neural Networks and Multi Objective Genetic Algorithms for water resources management: an application to the Hoabinh reservoir in Vietnam

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.02208 ◽

2011 ◽

Vol 44 (1) ◽

pp. 10579-10584 ◽

Author(s):

Francesca Pianosi ◽

Xuan Quach Thi ◽

Rodolfo Soncini-Sessa

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Water Resources ◽

Water Resources Management ◽

Resources Management ◽

Multi Objective ◽

Artificial Neural

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CFD modeling and multi-objective optimization of cyclone geometry using desirability function, artificial neural networks and genetic algorithms

Applied Mathematical Modelling ◽

10.1016/j.apm.2012.11.010 ◽

2013 ◽

Vol 37 (8) ◽

pp. 5680-5704 ◽

Author(s):

Khairy Elsayed ◽

Chris Lacor

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Desirability Function ◽

Cfd Modeling ◽

Multi Objective Optimization ◽

Multi Objective ◽

Artificial Neural

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The use of Artificial Neural Networks in the modeling of socioeconomic category of Integrated Water Resources Management (Case study: Saf-Saf River Basin, North East of Algeria)

Arabian Journal of Geosciences ◽

10.1007/s12517-012-0654-y ◽

2012 ◽

Vol 6 (10) ◽

pp. 3969-3978 ◽

Author(s):

Bachir Sakaa ◽

Hicham Chaffai ◽

Azzedine Hani

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Water Resources ◽

River Basin ◽

Water Resources Management ◽

Integrated Water Resources Management ◽

Resources Management ◽

Management Case Study

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Implementation of Multivariate Artificial Neural Networks Coupled With Genetic Algorithms for the Multi-Objective Property Prediction and Optimization of Emulsion Polymers

10.15368/theses.2019.82 ◽

2019 ◽

Author(s):

David Chisholm

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Property Prediction ◽

Multi Objective ◽

Emulsion Polymers ◽

Artificial Neural ◽

Objective Property

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Multi-objective optimization of asymmetric v-shaped ribs in a cooling channel using CFD, artificial neural networks and genetic algorithms

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-016-0698-0 ◽

2016 ◽

Vol 39 (6) ◽

pp. 2319-2329 ◽

Author(s):

Mohammad Darvish Damavandi ◽

Hamed Safikhani ◽

Mojtaba Yahyaabadi

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Cooling Channel ◽

Multi Objective Optimization ◽

Multi Objective ◽

Artificial Neural

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Fusion of artificial neural networks and genetic algorithms for multi-objective system reliability design optimization

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1243/1748006xjrr126 ◽

2008 ◽

Vol 222 (2) ◽

pp. 115-126 ◽

Author(s):

E Zio ◽

F Di Maio ◽

S Martorell

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Design Optimization ◽

System Reliability ◽

Reliability Design ◽

Multi Objective ◽

Objective System ◽

Artificial Neural

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Review of Soft Computing in Water Resources Engineering: Artificial Neural Networks, Fuzzy Logic and Genetic Algorithms by Gökmen TayfurWIT Press, Ashurst Lodge, Ashurst, Southampton, SO40 7AA, U.K.; 2012; ISBN 978-1-84565-636-3; eISBN 978-1-84564-637-0; 267 pp.; $276.

Journal of Hydrologic Engineering ◽

10.1061/(asce)he.1943-5584.0000772 ◽

2013 ◽

Vol 18 (12) ◽

pp. 1796-1796

Author(s):

C. Prakash Khedun ◽

Vijay P. Singh

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Fuzzy Logic ◽

Artificial Neural Networks ◽

Water Resources ◽

Soft Computing ◽

Artificial Neural ◽

Water Resources Engineering

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06/00986 Multi-objective optimization of the coal combustion performance with artificial neural networks and genetic algorithms

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)80988-4 ◽

2006 ◽

Vol 47 (2) ◽

pp. 142-143

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Coal Combustion ◽

Multi Objective Optimization ◽

Multi Objective ◽

Combustion Performance ◽

Artificial Neural

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Multi-objective optimization of nanofluid flow in flat tubes using CFD, Artificial Neural Networks and genetic algorithms

Advanced Powder Technology ◽

10.1016/j.apt.2014.05.014 ◽

2014 ◽

Vol 25 (5) ◽

pp. 1608-1617 ◽

Author(s):

H. Safikhani ◽

A. Abbassi ◽

A. Khalkhali ◽

M. Kalteh

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Multi Objective Optimization ◽

Nanofluid Flow ◽

Multi Objective ◽

Artificial Neural

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Multi-objective optimization of the coal combustion performance with artificial neural networks and genetic algorithms

International Journal of Energy Research ◽

10.1002/er.1070 ◽

2005 ◽

Vol 29 (6) ◽

pp. 499-510 ◽

Author(s):

Hao Zhou ◽

Kefa Cen ◽

Jianren Fan

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Coal Combustion ◽

Multi Objective Optimization ◽

Multi Objective ◽

Combustion Performance ◽

Artificial Neural

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Modeling of solid oxide fuel cell (SOFC) electrodes from fabrication to operation: Microstructure optimization via artificial neural networks and multi-objective genetic algorithms

Energy Conversion and Management ◽

10.1016/j.enconman.2019.111916 ◽

2019 ◽

Vol 198 ◽

pp. 111916 ◽

Author(s):

Z. Yan ◽

A. He ◽

S. Hara ◽

N. Shikazono

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Artificial Neural Networks ◽

Fuel Cell ◽

Solid Oxide Fuel Cell ◽

Solid Oxide ◽

Multi Objective ◽

Artificial Neural

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