Optimization of EDM Process Parameters on Aluminum Alloy 6082 by Using Multi-objective Genetic Algorithm

Lecture Notes in Mechanical Engineering - Innovative Product Design and Intelligent Manufacturing Systems ◽

10.1007/978-981-15-2696-1_49 ◽

2020 ◽

pp. 499-508

Author(s):

Sk. Md Riyaz ◽

P. Srinivas ◽

I. Ramu

Keyword(s):

Genetic Algorithm ◽

Aluminum Alloy ◽

Process Parameters ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Edm Process

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An experimental investigation to optimise injection moulding process parameters for plastic parts by using Taguchi method and multi-objective genetic algorithm

International Journal of Process Management and Benchmarking ◽

10.1504/ijpmb.2019.097818 ◽

2019 ◽

Vol 9 (1) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Deepak Kumar ◽

G.S. Dangayach ◽

P.N. Rao

Keyword(s):

Genetic Algorithm ◽

Experimental Investigation ◽

Taguchi Method ◽

Process Parameters ◽

Injection Moulding ◽

Moulding Process ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Injection Moulding Process ◽

Plastic Parts

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Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm

Archives of Civil and Mechanical Engineering ◽

10.1016/j.acme.2013.01.008 ◽

2013 ◽

Vol 13 (3) ◽

pp. 401-411 ◽

Cited By ~ 38

Author(s):

Jing Zhou ◽

Baoyu Wang ◽

Jianguo Lin ◽

Lei Fu

Keyword(s):

Genetic Algorithm ◽

Aluminum Alloy ◽

Hot Stamping ◽

Multi Objective ◽

Stamping Process ◽

Multi Objective Genetic Algorithm ◽

Side Beam

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Influence Of Process Parameters On Performance Of Wire Edm By Multi objective Genetic Algorithm

International Journal of Recent advances in Mechanical Engineering ◽

10.14810/ijmech.2018.7301 ◽

2018 ◽

Vol 07 (03) ◽

pp. 01-13

Author(s):

Gajanand Rathore ◽

Amber Batwara

Keyword(s):

Genetic Algorithm ◽

Process Parameters ◽

Wire Edm ◽

Influence Of Process Parameters ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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Investigation on Process Parameters of EN-08 Steel by Using DoE and Multi-Objective Genetic Algorithm Approach

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems ◽

10.1201/9781003081166-1 ◽

2020 ◽

pp. 1-14

Author(s):

Syed Anjum Alam ◽

Ashish Goyal ◽

Manish Dadhich

Keyword(s):

Genetic Algorithm ◽

Process Parameters ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Genetic Algorithm Approach

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Multi objective genetic algorithm to optimize the local heat treatment of a hardenable aluminum alloy

10.1063/1.5034965 ◽

2018 ◽

Author(s):

A. Piccininni ◽

G. Palumbo ◽

A. Lo Franco ◽

D. Sorgente ◽

L. Tricarico ◽

...

Keyword(s):

Heat Treatment ◽

Genetic Algorithm ◽

Aluminum Alloy ◽

Local Heat ◽

Multi Objective ◽

Local Heat Treatment ◽

Multi Objective Genetic Algorithm

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An experimental investigation to optimise injection moulding process parameters for plastic parts by using Taguchi method and multi-objective genetic algorithm

International Journal of Process Management and Benchmarking ◽

10.1504/ijpmb.2019.10019073 ◽

2019 ◽

Vol 9 (1) ◽

pp. 1

Author(s):

G.S. Dangayach ◽

P.N. Rao ◽

Deepak Kumar

Keyword(s):

Genetic Algorithm ◽

Experimental Investigation ◽

Taguchi Method ◽

Process Parameters ◽

Injection Moulding ◽

Moulding Process ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Injection Moulding Process ◽

Plastic Parts

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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 ◽

Cited By ~ 30

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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Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_52 ◽

2010 ◽

pp. 485-493 ◽

Cited By ~ 4

Author(s):

Dilip Datta ◽

Akan Kumar Das

Keyword(s):

Genetic Algorithm ◽

Process Parameters ◽

Electrochemical Machining ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Preliminary Study ◽

Tuning Process

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Multi-Objective Genetic Algorithm Optimization Using PID Controller for AQM/TCP Networks

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v10i1.11143 ◽

2017 ◽

Vol 10 (1) ◽

pp. 33 ◽

Cited By ~ 3

Author(s):

Samira Chebli ◽

Ahmed Elakkary ◽

Nacer Sefiani

Keyword(s):

Genetic Algorithm ◽

Pid Controller ◽

Algorithm Optimization ◽

Genetic Algorithm Optimization ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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DCMOGA: a New Method for Multiple Sequences Alignment Based on the Principle Divide and Conquers and the Multi-Objective Genetic Algorithm

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i8.10007 ◽

2016 ◽

Vol 11 (8) ◽

pp. 715

Author(s):

Abdelhakim El Fatmi ◽

Arakil Chentoufi ◽

Molay Ali Bekri ◽

Said Benhlima ◽

Mohamed Sabbane

Keyword(s):

Genetic Algorithm ◽

New Method ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Multiple Sequences ◽

Sequences Alignment ◽

Multiple Sequences Alignment

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