EMODA'05 Scope and Call for Papers (download .pdf)

workshop chairs:

Ajith Abraham (Chung Ang University, Seoul, South Korea) and

 Crina Grosan (Babes-Bolyai University, Cluj-Napoca, Romania)

Optimization problems occur often in our daily life.  In a multiobjective optimization problem (MOP) many (sometimes conflicting) objectives have to be satisfied simultaneously. Evolutionary Algorithms (EAs) (and, generally, evolutionary techniques) have proved their efficiency in dealing with problems having more than one objective. Over the past few years there has been an explosion with respect to the interest in Multiobjective EAs (MOEAs) and the number of publications generated increase each year. At almost each conference on Evolutionary Computation there is at least one MOEAs section.

The aim of this workshop is to bring together researchers working on MO to discuss about their work and to exchange research ideas in this field. 

Topics include, but are not limited to:

Theoretical developments:

- Swarm Intelligence for Multiobjective Optimization

- Multiobjective Evolvable Hardware

-Comparative studies of MOEAs

- New Algorithms for Multiobjective Optimization

- Test Data for Multiobjective Optimization Algorithms

- Performance Measures for Multiobjective Optimization Algorithms

- Hybrid MOEAs

Real world applications of MOEAs

- Image and Signal Processing

- Control and Automation
- Bioinformatics
- Data Mining
- E-commerce applications
- Internet Modeling, Communication and Networking
- Decision Support Systems
- Information Retrieval
- Virtual Reality
- Other Engineering Applications

Contacts:

Ajith Abraham: ajith.abraham@ieee.org

Crina Grosan: cgrosan@cs.ubbcluj.ro