Arificial intelligence in machine tools design based on genetic algorithms application

2010 ◽  
Author(s):  
G. Belgiu ◽  
S. Nanu ◽  
I. Silea
Keyword(s):  
Genetic Algorithms ◽  
Machine Tools ◽  
Machine Tools Design

Globalisation and Openness of Intelligent Machine Tools Design System

2001 ◽  
Vol 34 (2) ◽  
pp. 93-99
Author(s):  
Jerzy Jędrzejewski ◽  
Zbigniew Kowal ◽  
Wojciech Kwaśny ◽  
Wojciech Modrzycki
Keyword(s):  
Machine Tools ◽  
Design System ◽  
Intelligent Machine ◽  
Machine Tools Design

Research on the Selection Problem of Machine Tools in Cloud Manufacturing Environment

2014 ◽  
Vol 800-801 ◽  
pp. 649-653 ◽  
Author(s):  
Shu Qi Wang ◽  
Yun Xia Jiang ◽  
Min Li Zheng ◽  
Dong Nan Sun ◽  
Xiao Liang Cheng
Keyword(s):  
Genetic Algorithms ◽  
Machine Tools ◽  
Selection Process ◽  
Cloud Manufacturing ◽  
Optimal Selection ◽  
Cloud Environment ◽  
Manufacturing Environment ◽  
On Demand ◽  
Matching Process ◽  
Multi Level

This paper proposes a method to choose machine resources in order to realize the on-demand use of machine resources in cloud manufacturing environment. A convergence mode of the machine resources is described and the selection process is given. A multi-level matching process of machine tools is proposed. Different matching methods are designed for different parameter types of machining tasks and machine resources, and then machine resources are screened according to the requirements of machining tasks to form the machine resources candidate sets. Then a multi-objective optimal selection model of machine resources is constructed, regarding minimization of costs and time and maximization of service quality and reputation as the target, which is solved by using genetic algorithms. Finally, the algorithm is analyzed and validated with an example, and a kind of solution thinking and method is provided to select machine tools in manufacturing cloud environment.

Sign in / Sign up

Export Citation Format

Share Document