Abstract
In this paper, a novel method for tuning the design of an evolutionary algorithm (EA) is presented. The ADT method was built from a practical point of view, for including an EA into a framework for optimizing machining processes under uncertainties. The optimization problem studied, the algorithm, and the computer experiments made using the ADT method are presented with many details, in order to enable the comparison of this method with actual methods available to tune the desing of evolutionary algorithms.
| Original language | English (US) |
|---|---|
| Pages | 240-247 |
| Number of pages | 8 |
| State | Published - 2007 |
| Event | 4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 - Angers, France Duration: May 9 2007 → May 12 2007 |
Other
| Other | 4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 |
|---|---|
| Country/Territory | France |
| City | Angers |
| Period | 5/9/07 → 5/12/07 |
Keywords
- Evolutionary algorithms
- Experimental algorithmes
- Optimization of machining parameters
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Software
- Control and Systems Engineering
- Electrical and Electronic Engineering