Call for
Papers
Special Session on Agent based Memetic Algorithms (AMAs)
IEEE-CEC'2009 (http://www.cec-2009.org)
Memetic
Algorithms (MAs) are one of the recently growing research areas in Evolutionary
Algorithms (EAs). Memetic algorithms are a general name for a broad class of
population-based heuristics that is capable of local refinements. Recent
studies have revealed that MAs are successful on a wide variety of real world
problems. Particularly, they converge to high quality solutions more
efficiently compared to their conventional systematic counterparts.
A
multi-agent system (MAS) is composed of multiple interacting agents, possibly
equipped with intelligent capabilities. By agents here, we typically mean
software agents. Recently, multi-agent systems are increasingly used for
solving problems which are difficult or impossible for an individual agent.
They are also used as a programming and software development paradigm. In a
problem solving multi-agent system, agents usually have some of the basic
properties and characteristics of usual MASs, such as autonomy, local view,
social ability (communications), learning and adaptive ability.
A
population in MAs can simply be thought as a collection of agents. In
addition, since MAs are hybrid techniques, as they incorporate both
population-based and local search metaheuristics possibly combined with
tree-search techniques, MASs are indeed a powerful framework for modelling,
designing and implementing them. By integrating the agent concept in MAs, we
can enhance the performance of MAs as evident in the literature. The agents can
bring many interesting features in MAs which are beyond the scope of
traditional evolutionary process and learning. We must mention here that
'Evolutionary intelligent agents' is a regular topic in IEEE-CEC list.
The
aim of this special session is to reflect the most recent advances in the
field, and increase the awareness of the computing community at large on this
effective technology. In particular, we endeavor to demonstrate the current
state-of-the-art in the theory and practice of Agent based MAs. Topics of
interest include (but are not limited to):
- Novel frameworks of Agent based MAs (AMAs),
- Analytical and/or theoretical studies that
enhance our understanding of AMAs,
- Design of multi-agent architecture within AMAs,
- Design of agent communication and learning
strategy,
- Analysing the affect of agent type, architecture,
cooperation, communication and learning on the overall performance of AMAs
- Convergence and complexity analysis of AMAs,
- AMAs for global, constrained, dynamic and large
scale optimization,
- Multi-objective AMAs,
- Multi-method local search in AMAs,
- Hybrid search strategies in AMAs, and
- Real-world applications of AMAs.
Paper
Submission
Papers
submitted for this session will be peer-reviewed with the same criteria used
for other contributed papers. The paper format of the conference is available
on the website: http://www.cec-2009.org.
After the final decision is made, authors will receive a notification letter
accompanied with the reports of the reviewers. All accepted papers will be
published along with all accepted papers at CEC2009
and at least one of the authors must register and attend to present his/her
paper at CEC'2009.
All
papers will be submitted via the CEC submission system. Please follow the
instructions carefully to upload your papers. If you experience any difficulty,
please feel free to contact us directly.
Post-conference
Publication
Following
CEC the organisers of the special session intend to publish a special issue of
a Springer Journal on Memetic Computing. Authors of accepted papers in this special
session might be invited to extend their work for the journal publication.
Organizers
Contact Emails:
r.sarker@adfa.edu.au; michela.milano@unibo.it; andrea.roli@unibo.it
Important
Dates
- Paper
Submission: November 1st, 2008
- Notification
of acceptance/rejection: January 16th, 2009
- Camera-ready
submission: February 16th, 2009