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

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.

[ May 31, 2009; ] Aim and Scope

Data mining and knowledge discovery are crucial techniques across many scientific disciplines. Recent developments such as the Genome Project (and its successors) or the construction of the Large Hadron Collider have provided the scientific community with vast amounts of data. Metaheuristics and other evolutionary algorithms have been successfully applied to a large variety of data mining tasks. Competitive metaheuristic [...]

[ April 1, 2009; ] Please note a few extra days for submission as requested – see important dates.

The Twelfth International Workshop on Learning Classifier Systems (IWLCS 2009) will be held in Montreal, Canada, Thursday, July 9, 2008 during the Genetic and Evolutionary Computation Conference (GECCO-2009), July 8-12, 2009.

Originally, Learning Classifier Systems (LCSs) were introduced by John H. Holland as [...]

[ July 13, 2008; ] The Eleventh International Workshop on Learning Classifier Systems (IWLCS 2008) will be held in Atlanta, Georgia, USA, Sunday, July 13, 2008 during the Genetic and Evolutionary Computation Conference (GECCO-2008), July 12-16, 2008.

Originally, Learning Classifier Systems (LCSs) were introduced by John H. Holland as a way of applying evolutionary computation to machine learning and adaptive behavior problems. [...]

Call for Papers for IWLCS 2007
The Tenth International Workshop on Learning Classifier Systems (IWLCS 2007) will be held in London, UK, July 7-8, 2007 during the Genetic and Evolutionary Computation Conference (GECCO-2007), July 7-11, 2007.
Since Learning Classifier Systems (LCSs) were introduced by John H. Holland as a way of applying evolutionary computation to machine learning [...]

London, UK, July 7-9, 2007. To be held during the Genetic and Evolutionary Computation Conference (GECCO-2007), July 7-11, 2007.
Since Learning Classifier Systems (LCSs) were introduced by Holland as a way of applying evolutionary computation to machine learning problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and credit [...]

Seattle, WA, USA, July 8-9, 2006. To be held during the Genetic and Evolutionary Computation Conference (GECCO-2006), July 8-12, 2006.
Since Learning Classifier Systems (LCSs) were introduced by Holland as a way of applying evolutionary computation to machine learning problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and [...]

Washington, D.C., USA, June 25, 2005. To be held during the Genetic and Evolutionary Computation Conference (GECCO-2005), June 25-29, 2005.
Since Learning Classifier Systems (LCSs) were introduced by Holland as a way of applying evolutionary computation to machine learning problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and [...]