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:
- System Modeling
- Evolvable Hardware
- Intelligent Agents
- Manufacturing Applications
- Mobile Robots
- Constraint Optimization
- Multi-Objective Optimization
- Imaging and Vision Systems
- Signal Processing
- Time Tabling and Scheduling
- Medical Applications
- Communication Systems
- Computer Networks
- Industrial Processes
- 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
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