Deploying response surface methodology (RSM) and glowworm swarm optimization (GSO) in optimizing warpage on a mobile phone cover

Mapping Intimacies ◽

10.1063/1.5002241 ◽

2017 ◽

Cited By ~ 1

Author(s):

X. N. Lee ◽

M. Fathullah ◽

Z. Shayfull ◽

S. M. Nasir ◽

M. H. M. Hazwan ◽

...

Keyword(s):

Response Surface Methodology ◽

Mobile Phone ◽

Response Surface ◽

Swarm Optimization ◽

Glowworm Swarm Optimization

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Warpage analysis of thick shell part (thickness above 2mm) by using response surface methodology (RSM) and glowworm swarm optimization (GSO)

10.1063/1.5118206 ◽

2019 ◽

Author(s):

Y. S. Sim ◽

S. M. Nasir ◽

M. Fathullah ◽

N. A. Shuaib ◽

M. H. M. Hazwan

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Thick Shell ◽

Swarm Optimization ◽

Glowworm Swarm Optimization ◽

Part Thickness ◽

Shell Part

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Comparison between response surface methodology, genetic algorithm & glowworm swarm optimization in injection moulding process

10.1063/1.5066709 ◽

2018 ◽

Author(s):

T. M. Humaizi ◽

M. Fathullah ◽

Z. Shayfull ◽

S. M. Nasir ◽

M. Shazzuan

Keyword(s):

Genetic Algorithm ◽

Response Surface Methodology ◽

Response Surface ◽

Injection Moulding ◽

Swarm Optimization ◽

Moulding Process ◽

Glowworm Swarm Optimization ◽

Injection Moulding Process

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Milling Parameters Optimization of Al-Li Alloy Thin-Wall Workpieces Using Response Surface Methodology and Particle Swarm Optimization

Computer Modeling in Engineering & Sciences ◽

10.32604/cmes.2020.010565 ◽

2020 ◽

Vol 124 (3) ◽

pp. 937-952

Author(s):

Haitao Yue ◽

Chenguang Guo ◽

Qiang Li ◽

Lijuan Zhao ◽

Guangbo Hao

Keyword(s):

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Particle Swarm ◽

Parameters Optimization ◽

Thin Wall ◽

Swarm Optimization ◽

Milling Parameters

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Sonocatalytic Tannery Effluent Degradation –Response Surface Methodology and Particle Swarm Optimization Embedded Artificial Neural Network Modeling Approach

CLEAN - Soil Air Water ◽

10.1002/clen.202100095 ◽

2021 ◽

pp. 2100095

Author(s):

Natarajan Arun Prem Anand ◽

Ramasamy Palani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Tannery Effluent ◽

Swarm Optimization ◽

Artificial Neural Network Modeling

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System identification of a composite plate using hybrid response surface methodology and particle swarm optimization in time domain

Measurement ◽

10.1016/j.measurement.2014.05.025 ◽

2014 ◽

Vol 55 ◽

pp. 499-511 ◽

Cited By ~ 8

Author(s):

P. Athi Sankar ◽

Rajendra Machavaram ◽

K. Shankar

Keyword(s):

Response Surface Methodology ◽

Particle Swarm Optimization ◽

System Identification ◽

Response Surface ◽

Time Domain ◽

Composite Plate ◽

Particle Swarm ◽

Swarm Optimization

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Machining Parameters Optimization of Titanium Alloy using Response Surface Methodology and Particle Swarm Optimization under Minimum-Quantity Lubrication Environment

Materials and Manufacturing Processes ◽

10.1080/10426914.2015.1117632 ◽

2015 ◽

Vol 31 (13) ◽

pp. 1671-1682 ◽

Cited By ~ 82

Author(s):

Munish Kumar Gupta ◽

P. K. Sood ◽

Vishal S. Sharma

Keyword(s):

Response Surface Methodology ◽

Titanium Alloy ◽

Particle Swarm Optimization ◽

Response Surface ◽

Minimum Quantity Lubrication ◽

Parameters Optimization ◽

Machining Parameters ◽

Swarm Optimization ◽

Minimum Quantity ◽

Machining Parameters Optimization

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Warpage optimization on a mobile phone case using response surface methodology (RSM)

10.1063/1.5002256 ◽

2017 ◽

Cited By ~ 2

Author(s):

X. N. Lee ◽

M. Fathullah ◽

Z. Shayfull ◽

S. M. Nasir ◽

M. H. M. Hazwan ◽

...

Keyword(s):

Response Surface Methodology ◽

Mobile Phone ◽

Response Surface ◽

Warpage Optimization

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Optimization of CNC Face Milling Process Parameters using Response Surface Methodology and Particle Swarm Optimization Algorithm

International Journal of Mechanical and Production Engineering Research and Development ◽

10.24247/ijmperdjun202059 ◽

2020 ◽

Vol 10 (3) ◽

pp. 645-654

Author(s):

Shubham Jain et al., Shubham Jain et al., ◽

Keyword(s):

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Process Parameters ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Milling Process ◽

Face Milling ◽

Swarm Optimization

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Optimization of surface roughness in FDM 3D printer using response surface methodology, particle swarm optimization, and symbiotic organism search algorithms

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-04568-3 ◽

2019 ◽

Vol 105 (12) ◽

pp. 5121-5137 ◽

Cited By ~ 7

Author(s):

Mohd Sazli Saad ◽

Azuwir Mohd Nor ◽

Mohamad Ezral Baharudin ◽

Mohd Zakimi Zakaria ◽

A.F Aiman

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Particle Swarm ◽

Search Algorithms ◽

3D Printer ◽

Swarm Optimization ◽

Symbiotic Organism Search

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Comparative Approach of Response Surface Methodology and Particle Swarm Optimization-Artificial Neural Network (PSO-ANN) in Rehydration Ratio Optimization for Bael (Aegle marmelos (L) Correa) Powder Production

Algorithms for Intelligent Systems - Proceedings of International Conference on Machine Intelligence and Data Science Applications ◽

10.1007/978-981-33-4087-9_17 ◽

2021 ◽

pp. 199-211

Author(s):

Tanmay Sarkar ◽

Molla Salauddin ◽

Sudipta Kumar Hazra ◽

Runu Chakraborty

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Comparative Approach ◽

Aegle Marmelos ◽

Rehydration Ratio ◽

Swarm Optimization ◽

Ratio Optimization

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