Paper Info
Title
The application of Genetic Algorithms in component parameters design.
Abstract
This paper investigates the application of Genetic Algorithms (GAs) in component parameters design. From the perspective of profit per unit product, we have established the nonlinear programming model to determine the machine precision and product calibration value. After that, we solve the nonlinear programming model based on GAs, which can fix out the most appropriate component parameters to optimize the result. We conduct a comparative study between GAs and the enumeration method and give relevant analysis in the end of this paper. © 2012 IEEE.
Year
DOI
Venue
2012
10.1109/ICNC.2012.6234636
ICNC
Keywords
Field
DocType
component parameters design,genetic algorithm,nonlinear programming,genetics,calibration,machine precision,optimization,production,programming,profitability,comparative study,genetic algorithms
Mathematical optimization,Computer science,Nonlinear programming,Enumeration,Mechanical products,Machine epsilon,Artificial intelligence,Quality control and genetic algorithms,Calibration,Genetic algorithm,Machine learning
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Xijun Zhu131.79
Yawen Yan200.34
Xinzhong Lu3112.58
Yijia Lu400.34