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.

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

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.

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.

Memetic Computing Journal special issue on Metaheuristics for Large Scale Data Mining – Extended Deadline

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 approaches are able to deal with rule, tree and prototype induction, neural networks synthesis, fuzzy logic learning, and kernel machines–to mention but a few. Moreover, the inherent parallel nature of some metaheuristics (e.g. evolutionary approaches, particle swarms, ant colonies, etc) makes them perfect candidates for approaching very large-scale data mining problems.

Although a number of recent techniques have applied these methods to complex data mining domains, we are still far from having a deep and principled understanding of how to scale them to datasets of terascale, petascale or even larger scale. In order to achieve and maintain a relevant role in large scale data mining, metaheuristics need, among other features, to have the capacity of processing vast amounts of data in a reasonable time frame, to use efficiently the unprecedented computer power available nowadays due to advances in high performance computing and to produce when possible- human understandable outputs.

Several research topics impinge on the applicability of metaheuristics for data mining techniques: (1) proper scalable learning paradigms and knowledge representations, (2) better understanding of the relationship between the learning paradigms/representations and the nature of the problems to be solved, (3) efficiency enhancement techniques, and (4) visualization tools that expose as much insight as possible to the domain experts based on the learned knowledge.

We would like to invite researchers to submit contributions on the area of large-scale data mining using metaheuristics. Potentially viable research themes are:

  • Learning paradigms based on metaheuristics, evolutionary algorithms, learning classifier systems, particle swarm, ant colonies, tabu search, simulated annealing, etc
  • Hybridization with other kinds of machine learning techniques including exact and approximation algorithms
  • Knowledge representations for large-scale data mining
  • Advanced techniques for enhanced prediction (classification, regression/function approximation, clustering, etc.) when dealing with large data sets
  • Efficiency enhancement techniques
  • Parallelization techniques
  • Hardware acceleration techniques (vectorial instuctions, GPUs, etc.)
  • Theoretical models of the scalability limits of the learning paradigms/representations
  • Principled methodologies for experiment design (choosing methods, adjusting parameters, etc.)
  • Explanatory power and visualization of generated solutions
  • Data complexity analysis and measures
  • Ensemble methods
  • Online data mining and data streams
  • Examples of real-world successful applications

Instructions for authors

Papers should have approximately 20 pages (but certainly not more than 24 pages). The papers must follow the format of the Memetic Computing journal:
http://www.springer.com/engineering/journal/12293?detailsPage=contentItemPage&CIPageCounter=151543

Papers should be submitted following the Memetic Computing journal guidelines. When submitting the paper please select this special issue as the article type.

Important dates

  • Manuscript submission: May 31st, 2009
  • Notification of acceptance: July 31st, 2009
  • Submission of camera-ready version: Sep 30th, 2009

Guest editors:

Jaume Bacardit
School of Computer Science and School of Biosciences
University of Nottingham
jaume.bacardit@nottingham.ac.uk

Xavier Llorà
National Center for Supercomputing Applications
University of Illinois at Urbana-Champaign
xllora@illinois.edu

IWLCS 2009 call for papers

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 a way of applying evolutionary computation to machine learning and adaptive behavior problems. Since then, the LCS paradigm has broadened greatly into a framework that encompasses many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining, to automated innovation and the on-line control of cognitive systems. LCS research includes various actual system approaches: While Wilson’s accuracy-based XCS system (1995) has received the highest attention and gained the highest reputation, studies and developments of other LCSs are usually discussed and contrasted. Advances in machine learning, and reinforcement learning in particular, as well as in evolutionary computation have brought LCS systems the necessary competence and guaranteed learning properties. Novel insights in machine learning and evolutionary computation are being integrated into the LCS framework. Thus, we invite submissions that discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the event that brings together most of the core researchers in classifier systems. Moreover, a free introductory tutorial on LCSs is presented the day before the workshop at GECCO 2009. Tutorial and IWLCS workshop thus also provide an opportunity for researchers interested in LCSs to get an impression of the current research directions in the field as well as a guideline for the application of LCSs to their problem domain.

Submissions and Publication

We welcome manuscripts of up to 8 pages in ACM format. Please see the GECCO 2009 information for authors for further format details. However, unlike GECCO, papers do not have to be submitted in anonymous format. All accepted papers will be presented at IWLCS 2009 and will appear in the GECCO workshop volume. Proceedings of the workshop will be published on CD-ROM, and distributed at the conference. Authors will be invited after the workshop to submit revised (full) papers for publication in the next post-workshop proceedings volume (scheduled for 2010), in the Springer LNCS/LNAI book series.

All papers should be submitted in PDF format and e-mailed to: jqb@cs.nott.ac.uk

Important dates (Updated 26.03.09)

Paper submission deadline: Wednesday, April 1, 2009
Notification to authors: Friday, April 8, 2009
Submission of camera-ready material: by Friday, April 17, 2009
Conference registration: by Monday, April 27, 2009
Workshop date: Thursday, July 9, 2009

Committees

Organizing Committee

Jaume Bacardit, University of Nottingham (UK). E-mail: jaume.bacardit@nottingham.ac.uk
Will Browne, University of Reading (UK). E-mail: w.n.browne@reading.ac.uk
Jan Drugowitsch, University of Rochester (USA). E-mail: jdrugowitsch@bcs.rochester.edu

Advisory Committee

Ester Bernadó-Mansilla, Universitat Ramon Llull (Spain)
Martin V. Butz, Universitat Wurzburg (Germany)
Tim Kovacs, University of Bristol (UK)
Xavier Llorà, University of Illinois at Urbana-Champaign (USA)
Pier Luca Lanzi, Politechnico de Milano (Italy)
Wolfgang Stolzmann, Daimler Chrysler AG (Germany)
Keiki Takadama, Tokyo Institute of Technology (Japan)
Stewart Wilson, Prediction Dynamics (USA)

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

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

IWLCS 2008 call for papers

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. Sine then, the LCS paradigm has broadened greatly into a framework that encompasses many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining, to automated innovation and the on-line control of cognitive systems. LCS research includes various actual system approaches: While Wilson’s accuracy-based XCS system (1995) has received the highest attention and gained the highest reputation, studies and developments of other LCSs are usually discussed and contrasted.
Advances in machine learning, and reinforcement learning in particular, as well as in evolutionary computation have brought LCS systems the necessary competence and guaranteed learning properties. Novel insights in machine learning and evolutionary computation are being integrated into the LCS framework.
Thus, we invite submissions that discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the event that brings together most of the core researchers in classifier systems. Moreover, a free introductory tutorial on LCSs is presented the day before the workshop at GECCO 2008. Tutorial and IWLCS workshop thus also provide an opportunity for researchers interested in LCSs to get an impression of the current research directions in the field as well as a guideline for the application of LCSs to their problem domain.

Submissions and Publication

Submissions will be short-papers up to 8 pages in ACM format. Please see the GECCO 2008 information for authors for further details.
All accepted papers will be presented at IWLCS 2008 and will appear in the GECCO workshop volume. Proceedings of the workshop will be published on CD-ROM, and distributed at the conference. Authors will be invited after the workshop to submit revised (full) papers for publication in the next post-workshop proceedings volume (scheduled for 2009), in the Springer LNCS/LNAI book series.

All papers should be submitted in PDF format and e-mailed to: esterb[at]salle.url.edu.

Important dates

  • Paper submission deadline: April 4, 2008
  • Notification to authors: April 11, 2008
  • Submission of camera-ready material: by Friday, April 18, 2008
  • Conference registration by Monday, April 21, 2008
  • Workshop date: Sunday, July 13, 2008

Committees
Organizing Committee

  • Jaume Bacardit, University of Nottingham (UK). E-mail: jaume.bacardit[at]nottingham.ac.uk
  • Ester Bernadó-Mansilla, Universitat Ramon Llull (Spain). E-mail: esterb[at]salle.url.edu
  • Martin V. Butz, Universitat Wurzburg (Germany). E-mail: mbutz[at]psychologie.uni-wuerzburg.de
Advisory Committee

Call For Papers: The Tenth International Workshop on Learning Classifier Systems (IWLCS 2007)

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 problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining, to automated innovation, and to the on-line control of cognitive systems. LCS is a very active area of research that encompasses various system approaches. Wilson’s accuracy-based XCS system has received the highest attention and gained the highest reputation.

LCSs are benefiting from recent advances in machine learning, and reinforcement learning in particular, as well as in evolutionary computation. Novel insights in these two areas are continuously integrated into the LCS framework.

We invite submissions which discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the event that brings together most of the core researchers in classifier systems. Moreover, a free introductory tutorial on LCSs is presented at GECCO 2007. The IWLCS workshop gives the opportunity also to researchers interested in LCS to get an impression of the current research directions in the field.

Submissions and Publication

There are two ways to submit papers (deadline March 16, 2007):

  1. short papers (up to 4 pages in ACM format) or
  2. full papers (up to 20 pages in Springer format)

All accepted papers may be presented orally at IWLCS. Accepted short papers will appear in the GECCO workshop volume. Proceedings of the workshop will be published on CD-ROM, and distributed at the conference. Authors of short papers will be invited after the workshop to submit revised (full) papers for publication in the post-workshop proceedings, in Springer LNCS/LNAI book series.

Accepted full papers will be published in the post-workshop proceedings. Authors of accepted full papers will be asked to provide a shorter 4-pages version for publication in the GECCO 2007 workshop proceedings.

The normal route is for authors to submit short papers and produce full papers after IWLCS for the post-workshop proceedings, incorporating feedback from reviewers and delegates. All submissions will be peer reviewed. Reviews of short papers will be mainly to provide feedback to enable the production of an improved full paper.

All papers should be submitted in PDF format and e-mailed to: esterb@salle.url.edu.

Important dates

  • Paper submission deadline: Friday, March 16, 2007
  • Notification to authors: Friday, March 30, 2007
  • GECCO camera-ready material: by Wednesday, April 11, 2007
  • Conference registration: Wednesday, April 11, 2007
  • Workshop date: 7th or 8th July
  • Extended paper submissions for LNCS/LNAI post-workshop proceedings: early fall 2007
  • Notification of acceptance: late fall 2007
  • LNCS/LNAI camera ready material: winter 2007/08

Committees

Organizing Commitee

Advisory Committee

For more information please check here.

Preliminary IWLCS 2007 CFP

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 assignment schemes. Current LCS applications range from data mining to automated innovation to on-line control. Classifier systems are a very active area of research, with newer approaches, in particular Wilson’s accuracy-based XCS, receiving a great deal of attention. LCS are also benefiting from advances in the field of reinforcement learning, and there is a trend toward developing connections between the two areas. We invite submissions which discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the only event to bring together most of the core researchers in classifier systems. A free introductory tutorial on LCS will be presented at GECCO 2007.

The final call for papers can be found here.

Ninth International Workshop on Learning Classifier Systems (IWLCS 2006) – CFP

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 credit assignment schemes. Current LCS applications range from data mining to automated innovation to on-line control. Classifier systems are a very active area of research, with newer approaches, in particular Wilson’s accuracy-based XCS, receiving a great deal of attention. LCS are also benefiting from advances in the field of reinforcement learning, and there is a trend toward developing connections between the two areas.

We invite submissions which discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems.

IWLCS is the only event to bring together most of the core researchers in classifier systems. A free introductory tutorial on LCS will be presented at GECCO 2006.

Submissions

There are two possibilities for paper submissions. Both will be peer reviewed, but reviews of short papers will be mainly to provide feedback to authors – we expect most or all will be accepted.

1) Short papers of up to 4 pages may be submitted. Accepted short papers will be presented at the workshop and published in the GECCO workshop volume. The format of the GECCO workshop volume is to be confirmed but we expect it will be the ACM format used in 2005. After the workshop authors will be invited to submit full papers which are reviewed again for the post-workshop proceedings, which we plan to publish in Springer’s LNAI series as in past years.

2) Full papers of up to 20 pages (in Springer format) may be submitted for peer review before the workshop. Accepted full papers will be presented at the workshop and will be published in the post-workshop proceedings. Authors of full papers have a choice of how to contribute to the GECCO workshop volume: either i) prepare a short version for GECCO or ii) publish only your abstract in the GECCO book. If you prefer i) we would suggest an extended abstract of 1 or 2 pages, but anything up to 50% of the full paper is ok.

Papers should be submitted as PDF files e-mailed to iwlcs@cas.dis.titech.ac.jp.

Important dates

Please note: all dates are to be confirmed.

  • Paper submission deadline: March 24, 2006 (extended)
  • Decisions: April 12, 2006 (extended)
  • GECCO 2006 Workshop proceedings camerar-ready: April 26, 2006 (extended)
  • Workshop: July 8-9, 2006

Camera Ready for GECCO 2006 Workshop Proceedings

The camera-ready papers should be formated following the instructions provided by GECCO. Failing to comply will result in exclusion from the proceedings. The proceedings will only be published on CD-ROM. Camera-ready papers must be submitted using the GECCO-2006 Submission & Review site at https://ssl.linklings.net/conferences/gecco2006/.

Organization

Organizing Commitee

  • Tim Kovacs, University of Bristol (UK)
  • Xavier Llorà, University of Illinois at Urbana-Champaign (USA)
  • Keiki Takadama, Tokyo Institute of Technology (Japan)

Advisory Committee

  • Pier Luca Lanzi, Politechnico de Milano (Italy)
  • Wolfgang Stolzmann, Daimler Chrysler AG (Germany)
  • Stewart Wilson, Prediction Dynamics (USA)

Program Committee

  • Bacardit, Jaume. University of Nottingham (UK)
  • Bagnall, Tony. Univesity of East Anglia (UK)
  • Barry, Alwyn. University of Bath (UK)
  • Bernadó Mansilla, Ester. Universitat Ramon Llull (Spain)
  • Bonarini, Andrea. Politecnico di Milano (Italy)
  • Booker, Lashon. The Mitre Corporation (USA)
  • Browne, Will. University of Reading (UK)
  • Bull, Larry. University of West England (UK)
  • Butz, Martin. Universitat Wurzburg (Germany)
  • Carse, Brian. University of West England (UK)
  • Davis, David. NuTech Solutions (USA)
  • Drugowitsch, Jan. University of Bath (UK)
  • Egginton, RobUniversity of Bristol (UK)
  • Herrera, Francisco. Universidad de Granada (Spain)
  • Holmes, John. University of Pennsylvania (USA)
  • Homaifar, Abdollah. North Carolina A&T State University (USA)
  • Kovacs, Tim. University of Bristol (UK)
  • Lanzi, Pier Luca. Politecnico di Milano (Italy)
  • Llorà, Xavier. University of Illlinois at Urbana-Champaign (USA)
  • Marin-Blazquez, Javier. Universidad de Murcia (Spain)
  • Miramontes-Hercog, Luis. Instituto Tecnológico y de Estudios Superiores de Monterrey (Mexico)
  • Muruzabal, Jorge. Universidad Rey Juan Carlos (Spain)
  • Schulenburg, Sonia. University of Edinburgh (UK)
  • Sigaud, Olivier. Laboratoire d’Informatique de Paris 6 (France)
  • Stolzman, Wolfgang. Daimler Chrysler AG (Germany)
  • Takadama, Keiki. Tokyo Institute of Technology (Japan)
  • Wada, Atsushi. Advanced Telecomunications Research Institute (Japan)
  • Wilson, Stewart. Prediction Dynamics (USA)
  • Zatuchna, Z. V. Univesity of East Anglia (UK)

For further information please contact iwlcs@cas.dis.titech.ac.jp.