Multi-objective optimization and comparison of surrogate models for separation performances of cyclone separator based on CFD, RSM, GMDH-neural network, back propagation-ANN and genetic algorithm

Multi Objective ◽

Separation Performances

Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2006.12.030 ◽

2007 ◽

Vol 186 (1-3) ◽

pp. 154-162 ◽

Cited By ~ 155

Author(s):

Debabrata Mandal ◽

Surjya K. Pal ◽

Partha Saha

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Electrical Discharge ◽

Electrical Discharge Machining ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Machining Process ◽

Multi-objective Optimization in Drilling Kevlar Fiber Reinforced Polymer Using Grey Fuzzy Analysis and Backpropagation Neural Network–Genetic Algorithm (BPNN–GA) Approaches

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-019-00017-z ◽

2019 ◽

Vol 20 (4) ◽

pp. 593-607 ◽

Cited By ~ 8

Author(s):

Bobby O. P. Soepangkat ◽

Bambang Pramujati ◽

Mohammad Khoirul Effendi ◽

Rachmadi Norcahyo ◽

A. M. Mufarrih

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Fiber Reinforced Polymer ◽

Fiber Reinforced ◽

Backpropagation Neural Network ◽

Fuzzy Analysis ◽

Multi Objective ◽

Kevlar Fiber ◽

Reinforced Polymer

Multi-Objective Optimization in End Milling Process of ASSAB XW-42 Tool Steel with Cryogenic Coolant Using Grey Fuzzy Logic and Backpropagation Neural Network-Genetic Algorithm (BPNN-GA) Approaches

International Review of Mechanical Engineering (IREME) ◽

10.15866/ireme.v12i1.14123 ◽

2018 ◽

Vol 12 (1) ◽

pp. 42 ◽

Cited By ~ 9

Author(s):

Bobby Oedy Pramudyo Soepangkat ◽

R. Norcahyo ◽

D. R. Pamuji ◽

N. Lusi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Fuzzy Logic ◽

Tool Steel ◽

End Milling ◽

Milling Process ◽

Backpropagation Neural Network ◽

Multi Objective ◽

End Milling Process

GMDH-type neural network modeling and genetic algorithm-based multi-objective optimization of thermal and friction characteristics in heat exchanger tubes with wire-rod bundles

Heat and Mass Transfer ◽

10.1007/s00231-015-1681-5 ◽

2015 ◽

Vol 52 (8) ◽

pp. 1585-1593 ◽

Cited By ~ 3

Author(s):

Masoud Rahimi ◽

Reza Beigzadeh ◽

Mehdi Parvizi ◽

Smith Eiamsa-ard

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Heat Exchanger ◽

Network Modeling ◽

Neural Network Modeling ◽

Rod Bundles ◽

Friction Characteristics ◽

Wire Rod ◽

Multi-Objective Optimization of Vortex Generators Positions and Angles in Fin-Tube Compact Heat Exchanger at Low Reynolds Number Using Neural Network and Genetic Algorithm

Proceedings of the 15th International Heat Transfer Conference ◽

10.1615/ihtc15.opt.009018 ◽

2014 ◽

Author(s):

Leandro O. Salviano ◽

Daniel J. Dezan ◽

Jurandir Yanagihara

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Reynolds Number ◽

Heat Exchanger ◽

Low Reynolds Number ◽

Vortex Generators ◽

Compact Heat Exchanger ◽

Multi Objective ◽

Fin Tube

Multi-objective optimization of a gas cyclone separator using genetic algorithm and computational fluid dynamics

Powder Technology ◽

10.1016/j.powtec.2017.11.012 ◽

2018 ◽

Vol 325 ◽

pp. 347-360 ◽

Cited By ~ 16

Author(s):

Xun Sun ◽

Joon Yong Yoon

Keyword(s):

Fluid Dynamics ◽

Genetic Algorithm ◽

Computational Fluid Dynamics ◽

Cyclone Separator ◽

Multi-objective optimization of cooling and heating loads in residential buildings integrated with phase change materials using the artificial neural network and genetic algorithm

Journal of Energy Storage ◽

10.1016/j.est.2020.101772 ◽

2020 ◽

Vol 32 ◽

pp. 101772 ◽

Author(s):

Hamed Bagheri-Esfeh ◽

Hamed Safikhani ◽

Sadegh Motahar

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Phase Change ◽

Phase Change Materials ◽

Residential Buildings ◽

Multi Objective ◽

Artificial Neural ◽

Heating Loads

Multi-objective optimization of operating parameters based on neural network and genetic algorithm in the blast furnace

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8027755 ◽

2017 ◽

Author(s):

Heng Zhou ◽

Chunjie Yang ◽

Tian Zhuang ◽

Zelong Li ◽

Yuxuan Li ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Blast Furnace ◽

Operating Parameters ◽

Present a new multi objective optimization statistical Pareto frontier method composed of artificial neural network and multi objective genetic algorithm to improve the pipe flow hydrodynamic and thermal properties such as pressure drop and heat transfer coefficient for non-Newtonian binary fluids

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2019.122409 ◽

2019 ◽

Vol 535 ◽

pp. 122409 ◽

Cited By ~ 2

Author(s):

Huawei Wu ◽

Seyed Amin Bagherzadeh ◽

Annunziata D’Orazio ◽

Navid Habibollahi ◽

Arash Karimipour ◽

...

Keyword(s):

Neural Network ◽

Heat Transfer ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Pipe Flow ◽

Pareto Frontier ◽

Binary Fluids ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

2016 8th International Conference on Information Technology in Medicine and Education (ITME) ◽

Research on Application of BP Neural Network Based on Genetic Algorithm in Multi-objective Optimization

10.1109/itme.2016.0159 ◽

2016 ◽

Author(s):

Zhipeng Hu

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Bp Neural Network ◽

Multi Objective ◽

Research On Application