Title :
Arificial intelligence in machine tools design based on genetic algorithms application
Author :
Belgiu, G. ; Nanu, S. ; Silea, I.
Author_Institution :
Manuf. Technol. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
Abstract :
The design of machine tools activity is an area with hundreds of years old. With the development of CAD/CAE systems, the engineers´ work was greatly simplified. However, CAD/CAE systems are unable to overcome a critical threshold, thereby leaving the designer with many problems to be solved. Artificial intelligence field is also very exciting to develop this area. This paper presents a first attempt to introduce genetic algorithms in the design of machine tools.
Keywords :
CAD; artificial intelligence; computer aided engineering; genetic algorithms; machine tools; CAD/CAE systems; arificial intelligence; genetic algorithms application; machine tools design; Artificial intelligence; Kinematics; Machine tools; Manufacturing; Optimization; Software; Vibrations; CAD/CAE systems; artificial intelligence; genetic algorithms; machine tool design;
Conference_Titel :
Soft Computing Applications (SOFA), 2010 4th International Workshop on
Conference_Location :
Arad
Print_ISBN :
978-1-4244-7985-6
DOI :
10.1109/SOFA.2010.5565623
