Parametric Optimization of Magnetic Abrasive Finishing Process Using Genetic Algorithm and Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Parametric Optimization of Magnetic Abrasive Finishing Process Using Genetic Algorithm and Particle Swarm Optimization

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
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Author:

Saxenaa Gopal Kumar¹,Kamepalli Anjaneyulu¹,Gudipadu Venkatesh¹,Injeti Satish Kumar²,Cheruku Ramalingaswamy³

Affiliation:

1. National Institute of Technology,Department of Mechanical Engineering,Warangal,Telangana,India,506004

2. National Institute of Technology Warangal,Department of Electrical Engineering,Telangana,India,506004

3. National Institute of Technology Warangal,Department of CSE,Telangana,India,506004

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322307/10322308/10322459.pdf?arnumber=10322459

Reference14 articles.

1. A multi-objective genetic approach to domestic load scheduling in an energy management system

2. Genetic algorithm based optimization of friction welding process parameters on AA7075-SiC composite

3. Optimization of Process Parameters by Taguchi Grey Relational Analysis in Joining Inconel-625 Through Microwave Hybrid Heating

4. Surface Grinding Process Optimization Using Jaya Algorithm

5. Optimization of submerged arc welding process parameters using quasi-oppositional based Jaya algorithm

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