Determination of refractive index and thickness of MgF2film using simulated annealing algorithm

2013 ◽  
Vol 21 (4) ◽  
pp. 858-863 ◽  
Author(s):  
郭春 GUO Chun ◽  
李斌成 LI Bin-cheng
2019 ◽  
Vol 20 (1) ◽  
pp. 53
Author(s):  
Yeny Krista Franty ◽  
Budhi Handoko

This study aims to determine the machine maintenance schedule. We use the Simulated Annealing Algorithm. Fitness and reliability functions are functions that are used in the optimization process. Several weighting scenarios are done to see the unity of the function. The results of the scenario produce several alternative schedules. This algorithm is implemented on machines that have more than one sub-machine. This sub-machine is a smaller engine system part. This sub-machine also has one particular function. The results of the study show that the optimal engine maintenance period to use is six periods. There are five scheduling scenarios used in this problem. The resulting schedule can increase the value of reliability and can minimize costs.


2011 ◽  
Vol 66-68 ◽  
pp. 9-13
Author(s):  
Wen Liang Wang ◽  
Xiao Hong Rong

Simulated annealing algorithm is a mathematic model, which imitates the physical process of annealing. And optical thin film is widely used in many industry, To perform the functions for which they were designed, the films must have proper thickness, roughness and other characteristics. In the paper, the simulated annealing algorithm is used to determine the film optical constant It uses the transmission data through thin film over a range of wavelengths to calculate the thickness. According to the experimental results, the solution found by simulated annealing algorithm is unique and correct.


2013 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Farhad Soleimanian Gharehchopogh ◽  
Hadi Najafi ◽  
Kourosh Farahkhah

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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