About the GPEMjournal blog
This is the editor's blog for the journal Genetic Programming and Evolvable Machines. The official web site for the journal, maintained by the publisher (Springer) is here. The GPEMjournal blog is authored and maintained by Lee Spector.
Friday, December 10, 2010
GECCO in Dublin, deadlines approaching
GECCO will be in Dublin in 2011, July 12-16. The main paper submission deadline is January 26, 2011. Full details (including track descriptions) are at: http://www.sigevo.org/gecco-2011/
Sunday, December 5, 2010
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.
Friday, August 27, 2010
BibTex citations available from SpringerLink
With the new version of SpringerLink that runs the journal's website you can now get citations for articles in BibTex format, for easy inclusion in new articles prepared with LaTex. From the main page you can get to article listings through the search field or links such as Online First Articles or Current Issue. Then when you click on a particular article's title you'll get a page with the abstract and (among other things) an "EXPORT CITATION" link. Click that and then set the options as follows:
Export: Citation Only
Select Format: Plain Text
Select Citation Manager: BibTex
Then when you click "EXPORT CITATION" it will download a text file containing the citation in BibTex.
The other options should help those of you using other citation formats or citation managers, but since several people had specifically requested support for BibTex I'm quite happy to see that this is working.
Wednesday, July 28, 2010
David Goldberg wins EC Pioneer Award
Many congratulations to David Goldberg (Advisory Board Member of GPEM) who has been awarded the IEEE's Computational Intelligence Society Evolutionary Computation Pioneer Award at IEEE World Congress on Computational Intelligence in Barcelona last week.
Sunday, July 11, 2010
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.
Saturday, July 3, 2010
GPEM 11:3/4, Anniversary Special Issue, FREE for a limited time
I am pleased to announce that the Genetic Programming and Evolvable Machines "Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines," edited by Julian Miller and Riccardo Poli, is now available online.
This is a really nice special issue containing some excellent summaries of the state of the field and directions in which it is expected to move in the near future.
I am also happy to announce that the entire issue is FREE online for the month of July, 2010. In addition, two of the issue's articles (the one by Koza and the one by Langdon Gustafson) are published under Open Access and will therefore be free forever.
The articles in this issue are:
"Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines"
by Julian F. Miller and Riccardo Poli
"Human-competitive results produced by genetic programming"
by John R. Koza
"Theoretical results in genetic programming: the next ten years?"
by Riccardo Poli, Leonardo Vanneschi, William B. Langdon and Nicholas Freitag McPhee
"Genetic Programming and Evolvable Machines: ten years of reviews"
by W. B. Langdon and S. M. Gustafson
"Open issues in genetic programming"
by Michael O’Neill, Leonardo Vanneschi, Steven Gustafson and Wolfgang Banzhaf
"Grammar-based Genetic Programming: a survey"
by Robert I. McKay, Nguyen Xuan Hoai, Peter Alexander Whigham, Yin Shan and Michael O’Neill
"Developments in Cartesian Genetic Programming: self-modifying CGP"
by Simon Harding, Julian F. Miller and Wolfgang Banzhaf
Book Review (not part of the special issue per se): "Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies"
by Ivan Garibay
"Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two"
by Marco Tomassini and Leonardo Vanneschi
"An ensemble-based evolutionary framework for coping with distributed intrusion detection"
by Gianluigi Folino, Clara Pizzuti and Giandomenico Spezzano
"Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms"
by Garnett Wilson and Wolfgang Banzhaf
"Simdist: a distribution system for easy parallelization of evolutionary computation"
by Boye Annfelt Høverstad
"Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm"
by Ting Hu, Simon Harding and Wolfgang Banzhaf
"EvAg: a scalable peer-to-peer evolutionary algorithm"
by J. L. J. Laredo, A. E. Eiben, M. van Steen and J. J. Merelo
Thursday, June 24, 2010
GPEM impact factor!
I am very pleased to announce that Genetic Programming and Evolvable Machines has received its first official impact factor, of 1.091. We are ranked by ISI in the Artificial Intelligence category as 66th out of 102 journals, and in the Computer Science Theory and Methods category as 47th out of 91 journals. Considering our youth and the fact that this is our first ranking I think that this is quite strong.
Thursday, May 27, 2010
SIGEVOlution Volume 5, Issue 1, is now available
The SIGEVOlution newsletter Volume 5 Issue 1 is now available for download from: http://www.sigevolution.org
The new issue features:
- EC Testing of Embedded Systems by Peter M. Kruse, Joachim Wegener
and Stefan Wappler - Competitions @ GECCO-2010 by Christian Gagné
- Events reports: NICSO-2010 by David Pelta
- Dissertation Corner
- New issues of journals
- Calls and calendar
The newsletter is intended to be viewed electronically.
Thanks to Pier Luca Lanzi, SIGEvolution Editor-in-Chief.
Wednesday, May 26, 2010
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
Tuesday, May 25, 2010
Evolutionary computation in Communications of the ACM
The latest Communications of the ACM includes an article on "Automatic Program Repair with Evolutionary Computation" by Westley Weimer, Stephanie Forrest, Claire Le Goues, and ThanhVu Nguyen. This article is based on very nice work which, as noted last summer on this blog, won the top prize in the Human-Competitive Results Competition (the "Humies") at GECCO-2009.
(Hat tip to Bill Langdon.)
Friday, May 21, 2010
#gptp on twitter
Interesting presentations and discussions taking place at the Genetic Programming Theory and Practice workshop in Ann Arbor, and a couple of people are tweeting highlights. Search for #gptp at twitter.com to see what has been going on.
Saturday, April 24, 2010
GPEM 11(2) now available online
The second issue of volume 11 of Genetic Programming and Evolvable Machines is now available online. This is Part 2 of the special issue on parallel and distributed evolutionary algorithms, and it contains the following articles:
"Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two"
by Marco Tomassini and Leonardo Vanneschi
"An ensemble-based evolutionary framework for coping with distributed intrusion detection"
by Gianluigi Folino, Clara Pizzuti and Giandomenico Spezzano
"Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms"
by Garnett Wilson and Wolfgang Banzhaf
"Simdist: a distribution system for easy parallelization of evolutionary computation"
by Boye Annfelt Høverstad
"Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm"
by Ting Hu, Simon Harding and Wolfgang Banzhaf
"EvAg: a scalable peer-to-peer evolutionary algorithm"
by J. L. J. Laredo, A. E. Eiben, M. van Steen and J. J. Merelo
GECCO-2010 competitions announced
The announcement for the GECCO-2010 competitions is out, and it looks good!
Monday, April 19, 2010
GP for self-replication in cellular automata
A new piece on the use of genetic programming for self-replication in cellular automata, by Zhijian Pan and James A. Reggia, has been published in the journal Artificial Life. Previous work on this topic using non-GP genetic algorithms was intriguing, but I always thought that GP could produce even more interesting results. This new article appears to bear that out.
Tuesday, April 13, 2010
GP (by any name) on RadioLab
Hod Lipson and Michael Schmidt were on the ever-entertaining RadioLab (in the last segment of this show on "Limits"), discussing their remarkable work on "Distilling Free-Form Natural Laws from Experimental Data" that was published in Science last year. Although I don't think they call it GP explicitly in the radio show or even in the main Science article, GP is central to their work, as is explained in detail in the article's Supporting Online Material (links to Science are not free).
Tuesday, March 30, 2010
SIGEVOlution Volume 4, Issue 4, is now available
The SIGEVOlution newsletter Volume 4 Issue 4 is now available for download from: http://www.sigevolution.org
The new issue features:
- Galactic Arms Race by Erin J. Hastings & Kenneth O. Stanley
- A Perl Primer for EA Practitioners by Juan-Julián Merelo
- New issues of journals
- Calls & calendar
The newsletter is intended to be viewed electronically.
Thanks to Pier Luca Lanzi, SIGEvolution Editor-in-Chief.
Wednesday, February 17, 2010
SIGEVOlution Volume 4, Issue 3, is now available
New issues of the SIGEVOlution newsletter are appearing quite rapidly and the latest---Volume 4 Issue 3---is now available for you to download from: http://www.sigevolution.org
The new issue features:
- Issues in Applying Computational Intelligence by Arthur Kordon
- JavaXCSF by Patrick O. Stalph & Martin V. Butz
- Dissertation corner
- New issues of journals
- Calls & calendar
The newsletter is intended to be viewed electronically.
Thanks to Pier Luca Lanzi, SIGEvolution Editor-in-Chief.
GPEM 11(1) hardcopy -- new color!
Subscribers should by now have received their hardcopy editions of GPEM 11(1), and noticed the attractive new blue color! Let me know what you think!
Sunday, February 7, 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.
Wednesday, January 27, 2010
GPEM 11(1) now available online
The first issue of volume 11 of Genetic Programming and Evolvable Machines is now available online, with the following articles:
"Editorial Introduction" and "Acknowledgments" by Lee Spector
"The influence of mutation on population dynamics in multiobjective genetic programming"
by Khaled Badran & Peter I. Rockett
"Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure"
by Vyung-Joong Kim, Adrian Wong & Hod Lipson
"GP challenge: evolving energy function for protein structure prediction" by Pawel Widera, Jonathan M. Garibaldi & Natalio Krasnogor
"The identification and exploitation of dormancy in genetic programming" by David Jackson
"Book Review: Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications" by Gisele L. Pappa
"Book Review: Melanie Mitchell: Complexity a guided tour"
by Felix Streichert
Monday, January 18, 2010
SIGEVOlution Volume 4, Issue 2, is now available
The new issue of the SIGEVOlution newsletter, Volume 4 Issue 2, is now available for you to download from: http://www.sigevolution.org
The new issue features:
- 45 Years of Evolution Strategies: Hans-Paul Schwefel Interviewed for the Genetic Argonaut Blog
- CIG-2009
- Dissertation Corner
- Calls & calendar
The newsletter is intended to be viewed electronically.
Thanks to Pier Luca Lanzi, SIGEvolution Editor-in-Chief.
Thursday, January 7, 2010
GECCO-2010 deadline extended
The submission deadline for the 2010 Genetic and Evolutionary Computation Conference (GECCO-2010) has been extended to January 27, 2010. See the conference web site for more details.
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