Soft Computing Methodology to Optimize the Integrated Dynamic Models of Cellular Manufacturing Systems in a Robust Environment
Machine learning, neural networks, and metaheuristic algorithms are relatively new subjects, closely related to each other: learning is somehow an intrinsic part of all of them. On the other hand, cell formation (CF) and facility layout design are the two fundamental steps in the CMS implementation....
Saved in:
Main Authors: | Amir-Mohammad Golmohammadi, Hasan Rasay, Zaynab Akhoundpour Amiri, Maryam Solgi, Negar Balajeh |
---|---|
Format: | article |
Language: | EN |
Published: |
Hindawi Limited
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/656272236aae471185d8840efa8ca9d6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust Computed Torque Control for Uncertain Robotic Manipulatorss
by: Maryam Sadeq Ahmed, et al.
Published: (2021) -
Evaluation and Improvement of Manufacturing System Using Computer Software Arena
by: Kawthar A. Mohammed Hasan, et al.
Published: (2019) -
Experimental study on a robust interaction control with unknown environments
by: Sang Hyun Park, et al.
Published: (2021) -
Manufacturing
Published: (2007) -
A Novel Methodology for Assessing and Modeling Manufacturing Processes
by: Jan Reschke, et al.
Published: (2021)