TEC 2011 - Special Issue on Advances in Memetic Computation at IEEE Transactions on Evolutionary Computation

CFP for special issue on advances in memetic computation at IEEE Transactions on Evolutionary Computation

Aim and Scope:
Memetic Computation (MC) represents one of the successful computational
intelligence methodologies in current use today. Stemming from the
fundamentals of both Darwinian principles of natural evolution and Dawkins'
notion of a meme, the term "Memetic Algorithm" (MA) is generally viewed as
being close to a form of population-based hybrid evolutionary algorithm
coupled with a learning procedure capable of performing refinements. The last
few decades have witnessed a rapidly growing research interest in MA as
demonstrated by the significant increase in the number of research
publications on MA in the form of books, monographs, and archival articles.
Despite the vast research on memetic algorithms, there remain many open issues
and opportunities that are continually emerging as intriguing challenges for
the field.

To date it remains debatable in the evolutionary/meta-heuristic community on
whether hybrid evolutionary algorithm represents the true realization of
memetic computation. Hybrid instantiations of MA although encompass
characteristics of cultural evolution in the search cycle, may not qualify
fully as a true evolving system according to Universal Darwinism, since the
core principles of memetic transmission, variation and selection may be
missing. The definition of the word "meme" has remained ambiguous and
controversial in the fields of anthropology and memetics. There is the issue
on whether memes should materialize as information restricted to the brain or
also available in behaviors and artifacts. For example, some researchers have
looked upon memes as "ideas & knowledge", "synapses in neural memory
networks", "memory items & abstractions', "laterally/hierarchically organized
semantic memory", "information/neural patterns that infect human minds" and
others. Taking the lead from the diverse definitions and roles of "meme" in
computational intelligence, several forms of memetic algorithms have
materialized in the last few decades, with a plethora of potentially rich
memetic computing frameworks and operational algorithms to be developed in the
decades to come.

This special issue aims at bringing researchers from academia and industry
together to report and review the latest advances in memetic computation, to
explore future directions of research and to publicize the new and emerging
concept of memetics in computational intelligence, particularly evolutionary
computation, to a wider audience.
Specifically, we seek for diverse state-of-the-art concepts, theory, and
practice of memetic computation that are close to evolutionary principles.

Topics Covered:
Authors are invited to submit their original and unpublished work in the
following areas:

* Novel concepts of memetic computation and its adaptation into
evolutionary framework and algorithms,
* Competitive, collaborative and cooperative agent based memetic
computation,
* Cognitive & Brain inspired memetic computation, Meme-gene
* coevolutionary frameworks and multi-inheritance model, Formal and
* Probabilistic Single/Multi-Objective memetic frameworks,
* Analytical/Theoretical advances in memetic framework, Memes,
* memeplexes, meta-memes in computing and high-order evolution, Memetic
* frameworks that mimics individual learning, social learning
and imitation,
* Partial or full or meta-Lamarckian/Baldwinian, meta-learning, agent
based memetic computation.
* Parallel Memetic framework,
* Memetic frameworks for handling computationally expensive problems

Important Dates:
* April 30, 2010, Submission deadline
* August 31, 2010, Notification of the first-round review October 31,
* 2010, Revised submission due January 31, 2011, Final notice of
* acceptance/reject February 28, 2011, Final manuscript
* The expected publication time of the special issue is in 2011.

Submission:
Manuscripts should be prepared according to the instructions of the
"Information for Authors" section of the journal available at
(http://ieee-cis.org/pubs/tec/authors/). Submission should be done through the
IEEE TEC journal website:
http://mc.manuscriptcentral.com/tevc-ieee and clearly indicate "Special Issue
on Advances in Memetic Computation" in the comments to the Editor-in-Chief.
Submission of a manuscript implies that it is the authors' original
unpublished work and is not being submitted for possible publication
elsewhere. The review process will be handled by the Guest Editors of this
special issue and the Editor-in-Chief, Prof.
Garrison W. Greenwood.

Guest Editors:
* Dr. Yew Soon Ong
School of Computer Engineering,
Nanyang Technological University
Blk N4, 2b-39, Nanyang Avenue, Singapore 639798
E-mail: asysong-AT-ntu.edu.sg
http://www.ntu.edu.sg/home/asysong
* Dr. Kay Chen Tan
Department of Electrical and Computer Engineering National University of Singapore
4 Engineering Drive 3, Singapore 117576
E-mail: eletankc-AT-nus.edu.sg
http://vlab.ee.nus.edu.sg/~kctan