Deadline extended for Special Issue on Evolutionary Algorithms for Data Mining

The submission deadline for the Special Issue on Evolutionary Algorithms for Data Mining has been extended by 15 days. The new sunmission deadline is January 1st, 2011. The CFP (including the other dates) remains otherwise unchanged.

CFP: Special Issue on Evolutionary Algorithms for Data Mining

Call for Papers: Special Issue on Evolutionary Algorithms for Data Mining

Journal: Genetic Programming and Evolvable Machines (pub. by Springer)

Guest Editors: Pierre Collet, Université de Strasbourg, France; Man Leung Wong, Lingnan University, Hong Kong

Editor-in-Chief: Lee Spector, Hampshire College

The corporate and scientific communities are overwhelmed with an influx of data that is stored in on-line databases. Analyzing these data and extracting meaningful information in a timely fashion is intractable without computer assistance and powerful analytical tools. Data Mining is defined as the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data stored in databases (Fayyad et al. 1996). It is an active research area with promise for high payoffs in many business and scientific applications including direct marketing, trend analysis, fraud detection, stock price forecasting, option trading, bond rating, portfolio management, shopping patterns analysis, and medical diagnosis (Simoudis et al. 1996, Groth 1998).

The future of scientific computing is parallel and Artificial Evolution is inherently parallel. Therefore, all the recent successes in Data Mining obtained using Genetic Programming, Genetic Algorithms, Evolutionary Programming, Evolution Strategies, etc. bear a great potential. The grand challenge of using Evolutionary Algorithms for Data Mining is to automatically process large quantities of raw incomplete data with noisy information, identify the most significant and meaningful information/knowledge and present it for achieving the user's goals.

The aim of this special issue is to provide authors with a possibility to publish their work in a renowned journal and the reader with an understanding of the grand challenge, novel approaches in tackling the grand challenge, and some real-life applications, be they already parallelized or not.

We encourage submission of high quality papers (original work that has neither appeared in, nor is under consideration by, other journals), both theoretical and empirical, discussing novel Evolutionary Algorithms for Data Mining. Practical papers that describe successful applications of Evolutionary Algorithms for challenging real-life data mining problems are also sought. Subjects will include (but are not limited to):

- Parallel evolutionary algorithms for data mining

- Data mining from incomplete, imprecise, noisy, imbalanced, and huge databases

- Evolutionary algorithms for cost-sensitive data mining

- Evolutionary ensemble techniques for data mining

- Evolutionary algorithms for supervised and unsupervised classification of data

We encourage all prospective authors to contact the guest editors, at the address below, as early as possible, to indicate your intention to submit a paper to this special issue.

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.

Manuscripts should be submitted to: http://GENP.edmgr.com. Choose "Evol. Algorithms for Data Mining" as the article type when submitting.

Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.

== Guest Editors:

Pierre Collet, Université de Strasbourg, France; pierre.collet@unistra.fr

Man Leung Wong, Lingnan University, Hong Kong. mlwong@ln.edu.hk

== Important Dates:

Paper submission deadline: Dec 15, 2010

First Notification: March 15, 2011

Final manuscript: April 30, 2011

== References:

Fayyad, U. M., Piatetsky-Shapiro, G., and Smyth, P. (1996). From Data Mining to Knowledge Discovery: An Overview. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery in Data Mining, pp. 1-34. Menlo Park, CA: AAAI Press.

Groth, R. (1998). Data Mining: A Hands-On Approach for Business Professionals. Upper Saddle River NJ: Prentice Hall.

Simoudis, E., Han, J., and Fayyd, U. (1996). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. Menlo Park CA: AAAI Press.

CFP: Special Issue on Evolvable Hardware Challenges

Call for Papers: Special Issue on Evolvable Hardware Challenges

Journal: Genetic Programming and Evolvable Machines (pub. by Springer)

Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and Technology

Editor-in-Chief: Lee Spector, Hampshire College

Evolvable Hardware, the application of evolutionary techniques as hardware design techniques, is still in its infancy despite a 15 year lifespan. After the initial excitement in the late 1990s there have been many successes but perhaps not at the rate or to the extent of the original expectations. There are many challenges inherent in Evolvable Hardware that are currently being addressed or need to be addressed so as to unlock the true potential of the field. Such work, together with research on real world applications, will lead to a clearer definition of the field and thus pave a future path for Evolvable Hardware. The aim of this special issue is to provide the reader with contributions that we feel provide strong contributions towards this goal.

Two articles by leading researchers have already been commissioned:

- The Evolution of Standard Cell Libraries for Future Technology Nodes

James Walker, James Hilder & Andy Tyrrell

- An Evolved Anti-Jamming Antenna Beamforming Network

Jason Lohn, Derek Linden & Jonathan Becker

== Open submissions

We encourage submission of high quality papers, both theoretical and practical, describing newer approaches that address key challenges facing Evolvable Hardware today. Application papers that illustrate that Evolvable Hardware can achieve results that are challenging for today’s more traditional hardware design techniques are also sought. In addition, we are interested in contributions that address the computational design challenge in tomorrow’s technologies through the application of bio-inspired techniques. Subjects will include (but are not limited to):

- Evolvable hardware design

- Adaptive hardware

- Evolutionary robotics

- Formal models of bio-inspired hardware

- Generative and developmental approaches

- Real-world applications of evolvable hardware

- Bio-inspired computation on future technology

We encourage all prospective authors to contact the guest editor, at the address below, as early as possible to indicate your intention to submit a paper to this special issue.

Guest Editor:

Pauline C. Haddow pauline@idi.ntnu.no

Dept. of Computer and Information Science

The Norwegian University of Science and Technology

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.

Manuscripts should be submitted to: http://GENP.edmgr.com. Choose "Evolvable Hardware" as the article type when submitting.

Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.

== Important Dates:

Paper submission deadline: Sept, 1, 2010

Notification of acceptance: Oct 8, 2010

Final manuscript: Oct 29, 2010

FOGA XI CFP

The 11th Foundations of Genetic Algorithms conference will be held on January 5-9, 2011 in Schwarzenberg, Austria. Submissions (10-12 pages) on the theoretical foundations of any type of evolutionary computation can be emailed to foga@fhv.at. The deadline for submissions is July 5, 2010. For more details see http://www.sigevo.org/foga-2011.

Deadline extended for Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines

The deadline has been extended for submissions to the Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines; see the call for papers for details.

CFP: Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines

Genetic Programming and Evolvable Machines

Tenth Anniversary Special Issue on Progress in Genetic Programming and Evolvable Machines

(Revised May 19, 2009; please note revised title and deadlines. 2nd revision July 15, 2009. 3rd revision September 25, 2009; please note revised schedule)

Genetic Programming and Evolvable Machines is ten years old in 2010. To mark this, a prestigious special issue of the journal will be published. A number of articles by leading figures have already been commissioned:

• "Theoretical Results in Genetic Programming: The next ten years?" by Riccardo Poli, William B. Langdon, Nic McPhee and Leonardo Vanneschi
• "Human Competitive Results Using Genetic Programming" by John Koza
• "Genetic Programming and Evolvable Machines: Ten Years of Reviews" by William B. Langdon and Steven Gustafson

Open submissions

We encourage the submission of high quality papers that review or analyze progress in the field, present the state-of-the-art in the evolution of software and hardware, describe promising new approaches or application areas, or foundational topics in genetic programming and evolvable machines.

Subjects include, but are not limited to:

- Theoretical understanding of Genetic Programming

- Important Application Areas of Genetic Programming and Evolvable Machines

- New approaches and paradigms

- Fundamental Issues

- Wide ranging reviews and/or analysis of Research in Genetic and Evolvable Machines

Important Dates

- Paper submission deadline: November 23, 2009

- Notification of acceptance: January 15, 2009

- Final manuscript: February 15, 2010

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.All open submissions will be peer reviewed subject to the standards of the journal. Manuscripts based on previously published conference papers must be extended substantially.

Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript.

Manuscripts should be submitted to: http://GENP.edmgr.com. This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats.

All enquiries on this special issue by prospective authors should be sent to the guest editors at the addresses below.

Guest editors

Julian Miller

Department of Electronics

University of York,

Heslington, York,

YO10 5DD, UK

jfm7@ohm.york.ac.uk

Riccardo Poli

School of Computer Science and Electronic Engineering,

University of Essex,

Wivenhoe Park, Colchester,

CO4 3SQ, UK

rpoli@essex.ac.uk

Editor-in-Chief: Lee Spector, Hampshire College

Founding Editor: Wolfgang Banzhaf, Memorial University of Newfoundland

Journal Website: www.springer.com/10710

Deadline extended for Special Issue on Parallel and Distributed Evolutionary Algorithms

The deadline for submitting papers to the Genetic Programming and Evolvable Machines Special Issue on Parallel and Distributed Evolutionary Algorithms has been extended.

The new deadline is: May 15, 2009

More information about the special issue is available here.

CFP: Special Issue on Parallel and Distributed Evolutionary Algorithms

Genetic Programming and Evolvable Machines

Special Issue on Parallel and Distributed Evolutionary Algorithms

(Revised March 27, 2009; please note revised submission procedures.)

(Revised April 29, 2009; extended submission deadline.)

Genetic Programming, and Evolutionary Computation at
large have been extremely successful in the last decade across
a wide range of problems and applications. Current applications are
characterized by an ever growing complexity and a pronounced
distributed nature. While the use of centralized or hierarchical
architectures and algorithms has been dominant so far, they are
now becoming impractical because they have poor scalability and
fault-tolerance characteristics. Since evolutionary algorithms are
ideally suited to population partitioning and structuring, distributed
and parallel approaches appear to be a natural way to
cope with the growing computational burden associated with large
problems.

The aim of this Special Issue is to provide the reader with
contributions discussing recent advances and an indication of
future trends in the theory, development, and application of
parallel and distributed evolutionary algorithms. We encourage
submission of papers describing new concepts, models, and
strategies, along with papers describing systems and tools that
provide practical implementations. Papers describing either
hardware or software aspects of parallel and distributed
architectures are welcome. In addition, we are interested in
application papers discussing the power and applicability of these
parallel methods to real-world problems in any area of interest,
such as evolutionary design, optimization, and emerging fields
such as computational biology.

Subjects will include (but are not limited to):

- parallel and distributed evolutionary algorithms models

- theory of structured evolutionary algorithms

- performance evaluation of parallel and distributed
evolutionary algorithms

- applications of parallel and distributed evolutionary computing

- parallel and distributed implementations: software and
hardware aspects

Important dates:

* Paper submission deadline: May 15, 2009 [extended from April 30, 2009]
* Notification of acceptance: June 30, 2009
* Final manuscript: August 31, 2009

Paper Submission:

Authors are encouraged to submit high-quality, original work

that has neither appeared in, nor is under consideration by, other

journals. All submissions will be peer reviewed subject to the

standards of the journal. Manuscripts based on previously

published conference papers must be extended substantially.

Springer offers authors, editors and reviewers of Genetic

Programming and Evolvable Machines a web-enabled online

manuscript submission and review system. Our online system

offers authors the ability to track the review process of their

manuscript.

Manuscripts should be submitted to: http://GENP.edmgr.com. This

online system offers easy and straightforward log-in and submission

procedures, and supports a wide range of submission file formats.

All enquiries on this special issue by perspective authors should
be sent to the guest editors at the addresses below.

Guest editors:

Marco Tomassini
Information Systems Institute
University of Lausanne, Lausanne, Switzerland
marco.tomassini@unil.ch
Tel: +41 21 6923589

Leonardo Vanneschi
Department of Informatics, Systems and Communication (D.I.S.Co.)
Building U14, Office n. 2004
viale Sarca, 336
University of Milano-Bicocca, Milano, Italy
vanneschi@disco.unimib.it
Tel.: +39 02 64487874

Editor-in-Chief: Lee Spector, Hampshire College
Founding Editor: Wolfgang Banzhaf, Memorial University of Newfoundland
Journal Website: www.springer.com/10710