MULTI-OBJECTIVE OPTIMIZATION OF ABRASIVE FLOW MACHINING PROCESSES USING POLYNOMIAL NEURAL NETWORKS AND GENETIC ALGORITHMS

Machining Science and Technology ◽

10.1080/10910340600996126 ◽

2006 ◽

Vol 10 (4) ◽

pp. 491-510 ◽

Author(s):

M. Ali-Tavoli ◽

N. Nariman-Zadeh ◽

A. Khakhali ◽

M. Mehran

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Multi Objective Optimization ◽

Machining Processes ◽

Abrasive Flow Machining ◽

Multi Objective

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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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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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Fouling potential prediction and multi-objective optimization of a flue gas heat exchanger using neural networks and genetic algorithms

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2020.119488 ◽

2020 ◽

Vol 152 ◽

pp. 119488 ◽

Author(s):

Song-Zhen Tang ◽

Ming-Jia Li ◽

Fei-Long Wang ◽

Ya-Ling He ◽

Wen-Quan Tao

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Heat Exchanger ◽

Flue Gas ◽

Multi Objective Optimization ◽

Multi Objective

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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 composite angle grid plates for maximum buckling load and minimum weight using genetic algorithms and neural networks

Composite Structures ◽

10.1016/j.compstruct.2019.111450 ◽

2019 ◽

Vol 229 ◽

pp. 111450 ◽

Author(s):

Amir Ehsani ◽

Hamid Dalir

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Minimum Weight ◽

Buckling Load ◽

Multi Objective Optimization ◽

Multi Objective

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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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Pareto based multi-objective optimization of a cyclone vortex finder using CFD, GMDH type neural networks and genetic algorithms

Engineering Optimization ◽

10.1080/0305215x.2011.564619 ◽

2012 ◽

Vol 44 (1) ◽

pp. 105-118 ◽

Author(s):

Abolfazl Khalkhali ◽

Hamed Safikhani

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Multi Objective Optimization ◽

Multi Objective ◽

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Pareto Based Multi-Objective Optimization of Centrifugal Pumps Using CFD, Neural Networks and Genetic Algorithms

Engineering Applications of Computational Fluid Mechanics ◽

10.1080/19942060.2011.11015351 ◽

2011 ◽

Vol 5 (1) ◽

pp. 37-48 ◽

Author(s):

H. Safikhani ◽

A. Khalkhali ◽

M. Farajpoor

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Multi Objective Optimization ◽

Centrifugal Pumps ◽

Multi Objective

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Multi-Objective Optimization of Drill-Bit Assisted Abrasive Flow Machining Process through Taguchi Based Grey Relational Analysis

Reason-A Technical Journal ◽

10.21843/reas/2014/79-88/108123 ◽

2016 ◽

Vol 13 (0) ◽

pp. 79

Author(s):

Subrata Mondal ◽

Asish Bandyopadhyay ◽

Pradip Kumar Pal

Keyword(s):

Grey Relational Analysis ◽

Machining Process ◽

Drill Bit ◽

Multi Objective Optimization ◽

Abrasive Flow Machining ◽

Multi Objective ◽

Relational Analysis ◽

Grey Relational

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