scholarly journals A Clustering-based Simulated Annealing Algorithm with Taguchi Method for the Discrete Ordered Median Problem

2022 ◽  
Author(s):  
Mustafa Serdar TOKSOY
Keyword(s):  
Simulated Annealing ◽  
Taguchi Method ◽  
Simulated Annealing Algorithm ◽  
Median Problem ◽  
Ordered Median ◽  
Annealing Algorithm

Parameter Optimization of the Sheet Metal Shearing Process in the Manufacturing of Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm

2011 ◽  
Vol 314-316 ◽  
pp. 2458-2463 ◽  
Author(s):  
Gopalsamy Gopalaramasubramaniyan ◽  
V.S. Senthil Kumar
Keyword(s):  
Simulated Annealing ◽  
Taguchi Method ◽  
Sheet Metal ◽  
Simulated Annealing Algorithm ◽  
Optimal Level ◽  
Leaf Spring ◽  
Optimal Process ◽  
Grey Relational Grade ◽  
Annealing Algorithm ◽  
Parameter Values

The processing of Sheet metal includes the number of process, which forms the finished product. Shearing is the preliminary process in the sheet metal processing industries. In this paper, an attempt has been made to develop an approach to predict the optimal process parameters such as Squareness and length for the Shearing process on sheet metal. The Grey based Taguchi method is used to produce the optimal level of the selected controlled factors. The Grey relational grade is calculated and the statistical analysis of variance results the significant parameters. The obtained model is further processed with the simulated annealing algorithm to get the optimal process parameter values.

A New Solution for Maxterm Problem in Trigonometric Functions by Simulated Annealing Algorithm

2013 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Farhad Soleimanian Gharehchopogh ◽  
Hadi Najafi ◽  
Kourosh Farahkhah
Keyword(s):  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Trigonometric Functions ◽  
Matlab Software ◽  
Annealing Algorithm ◽  
Do So

The present paper is an attempt to get total minimum of trigonometric Functions by Simulated Annealing. To do so the researchers ran Simulated Annealing. Sample trigonometric functions and showed the results through Matlab software. According the Simulated Annealing Solves the problem of getting stuck in a local Maxterm and one can always get the best result through the Algorithm.

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