Special Issue on

Evolutionary Algorithms: A Tool for System Design

Journal of Intelligent Computing

Summary

Currently there is a growing interest in using Evolutionary Algorithms (EAs) to solve variety of computer science and engineering problems. EAs show a powerful capability in solving many system design problems in a variety of applications areas. For example: imaging systems, modeling and simulation of dynamic systems, control system design, monitoring and control of manufacturing processes, industrial systems planning, automation and scheduling, chemical and power systems design, robotics, signal processing, software engineering, evolvable hardware, parallel and distributed processing, grid computing and many others.

Topics of applications include, but are not limited to:

1. System Modeling
2. Evolvable Hardware
3. Intelligent Agents
4. Manufacturing Applications
5. Mobile Robots
6. Constraint Optimization
7. Multi-Objective Optimization
8. Imaging and Vision Systems
9. Signal Processing
10. Time Tabling and Scheduling
11. Medical Applications
12. Communication Systems
13. Computer Networks
14. Industrial Processes
15. Others

Submission:

We solicit research and experience papers as well as research-in-progress in all areas of evolutionary algorithms for engineering applications. Submissions, refereeing, and all correspondence will be conducted through e-mail to Prof. Alaa Sheta, the guest editor.

Papers submitted must be full papers, not to exceed 12 pages, in the journal format. (http://www.dline.info/authorguildelines.php)

Deadlines for submission

Deadline: September 1, 2011
Notifications: November 1, 2011
Camera ready: December 1, 2011
Publication: January 2012

Guest Editor(s) contact details, including e-mail(s)

Prof. Alaa Sheta
Computer Science Department
Faculty of Science and Information Technology
The World Islamic Sciences and Education University (WISE)
P.O. Box 1101, Amman 11947, Jordan
E-mail: alaa.sheta@wise.edu.jo or asheta66@gmail.com


Prof. Peter Rausch
Computer Science Department
Georg Simon Ohm University of Applied Sciences
Kesslerplatz 12
90489 Nuremberg, Germany
E-mail: peter.rausch@ohm-hochschule.de