| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 13, 2022
Advances in Modeling and Optimization of Manufacturing Processes
|
|
|---|---|---|
| Article Number | 6 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/smdo/2021033 | |
| Published online | 06 January 2022 | |
Research Article
Optimization of advanced manufacturing processes using socio inspired cohort intelligence algorithm
Symbiosis Institute of Technology, Symbiosis International (Deemed University), Near Lupin Research Park, Gram: Lavale, Tal. Mulshi, Pune, Maharashtra 412115, India
* e-mail: ishaan.kale@sitpune.edu.in
Received:
14
June
2021
Accepted:
28
October
2021
The demand of Advanced Machining Processes (AMP) is continuously increasing owing to the technological advancement. The problems based on AMP are complex in nature as it consisted of parameters which are interdependent. These problems also consisted of linear and nonlinear constraints. This makes the problem complex which may not be solved using traditional optimization techniques. The optimization of process parameters is indispensable to use AMP's at its aptness and to make it economical to use. This paper states the optimization of process parameters of Ultrasonic machining (USM) and Abrasive water jet machining (AWJM) processes to maximize the Material Removal Rate (MRR) using a socio inspired Cohort Intelligent (CI) algorithm. The constraints involved with these problems are handled using static penalty function approach. The solutions are compared with other contemporary techniques such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Modified Harmony Search (HS_M) and Genetic Algorithm (GA).
Key words: Advanced machining processes / complex problems / linear and nonlinear constraints / cohort intelligence algorithm
© I.R. Kale et al., Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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