[info] EC-Digest v21n10
Eugen Leitl
<eugen at leitl.org> on
Wed Nov 21 07:34:34 UTC 2007
----- Forwarded message from Adrian Grajdeanu <agrajdea at CS.GMU.EDU> -----
From: Adrian Grajdeanu <agrajdea at CS.GMU.EDU>
Date: Tue, 20 Nov 2007 18:16:31 -0500
To: EC-DIGEST-L at mail04.GMU.EDU
Subject: EC-Digest v21n10
Reply-To: Evolutionary Computation Digest <EC-DIGEST-L at mail04.GMU.EDU>
Evolutionary Computation Digest Tuesday, November, 20 2007 Volume 21 : Issue 10
SUBMISSION ADDRESS: EC-Digest-L at listserv.gmu.edu
LIST INFORMATION: http://ec-digest.research.ucf.edu/
OLD LIST ARCHIVE: http://www.aic.nrl.navy.mil/galist/
NEW LIST ARCHIVE: http://listserv.gmu.edu/cgi-bin/wa?A0=EC-DIGEST-L
(UN)SUBSCRIPTION INSTRUCTIONS: at the bottom of this email
--------------------------------
Today's Topics:
ANNOUNCEMENTS
-------------
- BAYESIAN COGNITION Winter School
- CEC 2007 bibliography online
- Research Fellow - Design Optimisation of Products and Services
- New Journal: Evolutionary Intelligence
CFPs
----
- CFP: IEEE Trans. on EC - Special issue on Swarm Intelligence
- EvoPhD 2008: CALL FOR PAPERS
- Call for Papers
- CEC 2008 Special Session on Large Scale Optimization
- CfP: Special Session "Mathematical Analysis of Bio-Inspired Computation
- Call for papers: Genetic Programming Theory and Practice 2008
- FW: Extended submission deadline ACDM '08
- CfP: ICES 2008
- WCCI08 Special Session: Grammars in Evolutionary Computation
- CIGPU-2008 Hong Kong, 1-6 June 2008
--------------------------------
CALENDAR OF GA-RELATED ACTIVITIES: (with EC-Digest issue reference)
EA'07, 8th Intl Conf on Artificial Evolution, Tours, Oct 29-31,07 (v21n4)
IICAI'07, 3rd Indian Intl Conf on Artificial Intell, India, Dec 17-19,07(v21n3)
EVO*'08, European Events on Ev. Computation, Napoli,Italy, Mar 26-28'08 (v21n8)
GECCO'08, Genetic and Evolutionary Conference, Atlanta,GA,July 12-16,08 (v21n7)
Send announcements of other activities to EC-Digest-L at listserv.gmu.edu
--------------------------------
Sender: Jean-Marc Bollon <Jean-Marc.Bollon at inrialpes.fr>
Subject: BAYESIAN COGNITION Winter School
BAYESIAN COGNITION Winter School
January 6-11, 2008 Chamonix - Mont-Blanc, France
Web : http://bayesian-cognition.org
Rationale:
Animals and artificial systems alike are faced with the problem of
making inferences about their environments and choosing appropriate
responses based on incomplete, uncertain and noisy data.
Probabilistic models and algorithms are flourishing in both life
sciences and information sciences as ways of understanding the
behavior of subjects and the neural processing underlying this
behavior, and building robots and artificial agents that can function
effectively in such circumstances.
This winter school is a prolongation of the Bayesian Cognition
workshop held in Paris in January 2006 (Bayesian-Cognition.org)
Program:
The school is made of 7 tutorial modules (4 hours long) covering the
following topics made by senior researchers in the field:
- Probability theory as an alternative to logic (Pierre Bessi?re
- CNRS, Grenoble)
- Satistical learning (Samy Bengio - Google, Mountain View)
- Probabilistic models of Central Nervous System (Sophie Den?ve
- Ecole Normal Sup?rieur, Paris)
- Approximate evaluation of Bayesian calculus (Vaclav Smidl -
UTIA, Prague)
- Probabilistic Robotics (Wolfram Burgard - Universit?t Freiburg)
- Probabilistic interpretation of physiological and
psychophysical data (Jacques Droulez - Coll?ge de France, Paris)
- Industrial applications (Emmanuel Mazer - ProBAYES, Grenoble)
There will be also 9 presentations (50 minutes long) made by young
researchers (typically Postdocs) who will present their thesis work
in some details.
Finally, there will be a 6 hours practical training session where
students will have the opportunity to design, write and run short
Bayesian programs using the ProBT? toolkit (Juan-Manuel Ahuactzin -
ProBAYES, Grenoble)
Main clientele:
The winter school is mainly conceived for PhD students in cognitive
science and robotics interested by the variety of probabilistic
models and techniques used in these fields.
Master students and postdocs could also find benefits in attending
this school.
[message edited for length]
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Sender: Langdon W B <wlangdon at essex.ac.uk>
Subject: CEC 2007 bibliography online
I am pleased to announce that a bibtex file describing the papers
recently presented at CEC2007 is now available electronically:
http://www.cs.bham.ac.uk/~wbl/biblio/cec2007.bib
All CEC papers can be found via the www search interface at
http://liinwww.ira.uka.de/bibliography/Ai/cec.html
W. B. Langdon,
Mathematical Sciences,
University of Essex
Wivenhoe Park,
Colchester CO4 3SQ, UK
Foundations of Genetic Programming
http://www.cs.ucl.ac.uk/staff/W.Langdon/FOGP
EuroGP 2008 http://evonet.lri.fr/EuroGP08/
GP EM http://www.springer.com/10710
GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/
--------------------------------
Sender: Tiwari, Ashutosh <A.Tiwari at Cranfield.ac.uk>
Subject: Research Fellow - Design Optimisation of Products and Services
RESEARCH FELLOW
DESIGN OPTIMISATION OF PRODUCTS AND SERVICES
CRANFIELD UNIVERSITY, UK
?27,665 per annum
Closing date for receipt of applications: 23 NOVEMBER 2007
Cranfield University is one of the leading research centres in design
optimisation using evolutionary computing. It is in a unique position
to develop world-class research in this area by exploiting its synergy
with our research activities in product-service systems, micro-systems
and nanotechnology, and soft computing. The Decision Engineering Centre
that hosts this position provides a vibrant and dynamic environment for
multidisciplinary research and industrial collaboration in engineering design.
This is an exciting new position to support the continual growth of
Cranfield's research portfolio in 'Design Optimisation of Products and
Services'. With the increasing market demand for miniaturised products,
enhanced business focus on service engineering and fast growth in computing
technologies, this area now offers new exciting opportunities. This position
will explore new research in this area by: (i) expanding the boundary of
optimisation algorithms to micro/nano scale designs, and (ii) examining
the role and organisation of information for the optimisation of service
and support solutions. This will establish novel links between design
optimisation and the domains of micro-systems/nanotechnology and
product-service systems. You will be expected to develop new research
proposals, manage relationships with industry and develop further interests
in these areas.
You will have a PhD (or should be close to completion) in a relevant
discipline such as mechanical engineering, computer science, information
systems/technology or other relevant discipline. In addition, a First or
Second Class UK Honours degree (or equivalent) in a relevant discipline is
required. Some research/work experience in design optimisation, evolutionary
computing and programming would be preferred. You will work within the
existing team and contribute to existing design optimisation research at
Cranfield. You will require research proposal writing, organisation,
analytical, communication (oral and written), technical paper and article
writing, and client handling skills.
The position is for a fixed term of four years. For informal discussion
about the post, please contact Dr Ashutosh Tiwari, Senior Lecturer and
Course Director, E: a.tiwari at cranfield.ac.uk T: +44 (0)1234 758250.
Application forms and further details are available from the Human Resources
Department, Cranfield University, Cranfield, Bedford MK43 0AL.
E: hr at cranfield.ac.uk W: www.cranfield.ac.uk/hr
Alternatively, telephone our 24 hour Recruitment Line
on +44 (0)1234 750111 ext 2000, quoting reference number C/7131H.
Closing date for receipt of applications: 23 November 2007
Dr. Ashutosh Tiwari
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Sender: Larry Bull <larry.bull at uwe.ac.uk>
Subject: New Journal: Evolutionary Intelligence
Hello,
I would like to make the following announcement:
Evolutionary Intelligence is a new quarterly journal devoted to the
publication and dissemination of theoretical and practical aspects of the use
of population-based search for artificial intelligence. Techniques of interest
include evolving rule-based systems, evolving artificial neural networks,
evolving fuzzy systems, evolving Bayesian and statistical approaches,
artificial immune systems, and hybrid systems which combine evolutionary
computation with other A.I. techniques in general.
The first issue is due to appear in January 2008. More details can
be found here: http://www.springer.com/12065
Contributions are now welcome.
Thank you.
Larry Bull
University of the West of England, U.K.
http://www.cems.uwe.ac.uk/~lbull
--------------------------------
Sender: Xiaodong Li <xiaodong.li at rmit.edu.au>
Subject: CFP: IEEE Transactions on Evolutionary Computation - Special
issue on Swarm Intelligence
IEEE Transactions on Evolutionary Computation
Special issue on Swarm Intelligence
http://goanna.cs.rmit.edu.au/~xiaodong/ecml/tec-si-cfp.pdf
I. AIM AND SCOPE
Swarm Intelligence (SI) is an Artificial Intelligence technique
involving the study of collective behaviour in decentralized systems.
Such systems are made up by a population of simple individuals
interacting locally with one another and with their environment.
Although there is typically no centralized control dictating the
behaviour of the individuals, local interactions among the individuals
often cause a global pattern to emerge. Examples of systems like this
can be found abundant in nature, including ant colonies, bird flocking,
animal herding, honey bees, bacteria, and many more. SI refers to the
problem-solving behaviour that emerges from the interaction between
individuals of such systems, and computational swarm intelligence refers
to algorithmic models of such behaviors. These algorithmic models have
shown to be able to adapt well in changing environments, and are
immensely flexible and robust. As traditional algorithms, which
emphasize more on 'centralization', become increasingly inadequate
in handling today's more complex problems, SI algorithms offer an
attractive alternative to problem solving. The last decade has shown
rapid growing research interests in SI, as demonstrated by the
significant increase of the number of research publications on SI,
especially on two popular SI paradigms, namely Particle Swarm
Optimization (PSO) and Ant Colony Optimization (ACO).
II. TOPICS COVERED
Authors are invited to submit their original and unpublished work in
the areas including (but not limited to) the following:
Theoretical studies of SI paradigms and algorithms
Development of new SI paradigms and algorithms
SI algorithms for multi-objective optimization
SI algorithms for constrained optimization
SI algorithms for niching and multi-modal optimization
SI algorithms for optimization in dynamic and noisy environments
SI algorithms for evolving artificial neural networks
SI algorithms for games and learning
Hybrids between SI algorithms and other heuristic methods
Comparative theoretical and empirical studies
Benchmarking and evaluation of new SI algorithms
Self-adaptive SI algorithms
SI algorithms for real-world applications
Nature-inspired algorithms based on collective behaviors
Swarm robotics and other SI-inspired systems
III. IMPORTANT DATES
December 31, 2007, Submission deadline
March 31, 2008, Notification of the first-round review
June 30, 2008, Revised submission due
August 31, 2008, Final notice of acceptance/reject
September 30, 2008, Final manuscript
The expected publication time of the special issue will be at the
beginning of 2009.
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Sender: Stefano Cagnoni <cagnoni at foresto.ce.unipr.it>
Subject: EvoPhD 2008: CALL FOR PAPERS
Third European Graduate Student Workshop on Evolutionary Computation
Naples, Italy, 26-28 March 2008
This is the third European workshop on evolutionary computation that
focuses on work of PhD students. Its main aim is to give students
feedback on the current state of their thesis. This workshop provides
a chance to students to present their work to a friendly audience of
other students as well as experts in the field. It also provides
students with contacts and professional networking opportunities,
which helps them to integrate into the community.For you as a student,
the aim of a submission is to get feedback on the current state of
your thesis.
Submissions will be evaluated by members of a high-quality committee
that consists of long running members of the community with the goal
to provide in-depth feedback. You are required to submit a paper that
summarizes the research performed and planned as part of your
dissertation.The number of participants is limited. Accepted papers
will not be published in a proceedings, but will be disseminated among
the participants of the event.The workshop is part of Evo*2008, which
combined form Europe's premier co-located events in the field of
evolutionary computing. The next event takes place in Naples,
Italy. Featuring the latest in theoretical and applied research, the
topics include recent genetic programming challenges, evolutionary and
other meta-heuristic approaches for combinatorial optimization,
evolutionary algorithms in the biosciences, in music and art domains,
in image analysis and signal processing systems, in hardware
optimisation and as applied to a range of industrial and financial
optimisation problems.
Web address: http://www.evostar.org
Topics include, but are not limited to,
* Any topic that fits in the scope of the conferences and workshops
* Bio-inspired computing, such as evolutionary computing, ant colony
optimization, swarm intelligence, and neural networks
* Local optimisation methods (tabu search, simulated annealing)
* All flavours of evolutionary computation (genetic programming,
evolution strategies, genetic algorithms, memetic algorithms, etc.)
* Combinatorial optimisation with bio-inspired computing
* Application of evolutionary computation to real-life problems
* Hybrid architectures that include bio-inspired components
* Theory on a relevant area of bio-inspired computing
Submission Information
The deadline for submission is 22 December 2007.
Authors will be notified of acceptance on 1 February 2008.
Camera-ready version of accepted paper due on 29 February 2008.
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Sender: M Siddique <nh.siddique at ulster.ac.uk>
Subject: Call for Papers
Workshop cum Summer School on Evolutionary Computing and Lecture Series by
Pioneers Londonderry, NI, UK, 18-22 August 2008
Jointly Organised by IEEE Computational Intelligence Society, Intelligent
Systems Research Centre and School of Computing and Intelligent Systems,
University of Ulster Magee Campus.
The Workshop and Summer School is inspired by the pioneers of evolutionary
computing community and their enormous contribution to the field, in a spirit
of remembrance and tribute, and as a means of passing on their ideas to new
generations of researchers. The Workshop & Summer School will bring prominent
experts of Evolutionary Computing together with the participants and the new
generation researchers.
[...]
Graduate students especially PhD, post doctoral researchers, scientists,
practitioners, engineers, medical researchers, biologists, computer scientists,
physicists and applied mathematicians are invited to submit research papers to
join us and to learn about the recent developments in evolutionary computing.
The submitted papers will be peer reviewed by international programme committee
for publication in the proceedings.
Important dates:
Full Paper Submission March 1, 2008
Notification of Acceptance/Rejection May 1, 2008
Submission of Camera Ready Paper June 1, 2008
Registration of Paper/Participants June 1, 2008
Workshop 18-22 August, 2008
URL: http://isel.infm.ulst.ac.uk/conference/wssec2008/wssec08.htm
kind regards
siddique
M.N.H. SIDDIQUE Dipl.-Ing.,MSc Eng.,PhD,MIEEE
School of Computing and Intelligent Systems
University of Ulster at Magee
Londonderry BT48 7JL, NI, UK
Tel. +44(0)2871375340
Fax. +44(0)2871375470
Email:nh.siddique at ulster.ac.uk
http://www.infm.ulst.ac.uk/~siddique
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--------------------------------
Sender: Ponnuthurai Nagaratnam Suganthan <EPNSugan at ntu.edu.sg>
Subject: CEC 2008 Special Session on Large Scale Optimization
Call for papers: CEC2008 (@WCCI2008) Special Session on Large Scale
Global Optimization http://nical.ustc.edu.cn/cec08ss.php
In the past two decades, different kinds of nature-inspired optimization
algorithms have been designed and applied to solve optimization problems,
e.g., simulated annealing (SA), evolutionary algorithms (EAs), differential
evolution (DE), particle swarm optimization (PSO), Ant Colony Optimisation
(ACO), Estimation of Distribution Algorithms (EDA), etc. Although these
approaches have shown excellent search abilities when applying to some
30-100 dimensional problem, many of them suffer from the "curse of
dimensionality", which implies that their performance deteriorates quickly
as the dimensionality of search space increases. The reasons appear to be
two-fold. First, complexity of the problem usually increases with the size
of problem, and a previously successful search strategy may no longer be
capable of finding the optimal solution. Second, the solution space of the
problem increases exponentially with the problem size, and a more efficient
search strategy is required to explore all the promising regions in a given
time budget.
[...]
This special session is devoted to the novel approaches, algorithms and
techniques for tackling large scale global optimization problems, involving
single objective or multiple objectives, binary or discrete or real or mixed
variables. Papers on novel test suites that help us in understanding problem
characteristics are also welcome. We encourage all authors to submit their
test functions, algorithms and results to the Birmingham Benchmark site
Evolutionary Computation Benchmark Repository (EvoCoBR):
http://www.cs.bham.ac.uk/research/projects/ecb/ .
Further, a set of scalable function optimization problems are available
at: http://nical.ustc.edu.cn/cec08ss.php . Authors working on numerical
optimizations are encouraged to test their algorithms on the test suite.
We will archive the comparative results as we did during the CEC 2005,
2006 & 2007 at http://www.ntu.edu.sg/home/epnsugan .
All papers accepted by the special session will be included in the CEC'08
conference proceedings and selected authors will be invited to present their
results during WCCI-08.
A/Prof P N Suganthan Tel: 65 6790 5404
School of EEE Fax: 65 6792 0415
Nanyang Technological University epnsugan at ntu.edu.sg
Republic of Singapore 639798 Office: S2-B2a-21
http://www.ntu.edu.sg/home/epnsugan
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--------------------------------
Sender: Frank Neumann <fne at mpi-inf.mpg.de>
Subject: CfP: Special Session "Mathematical Analysis of Bio-Inspired
Computation" at CEC 2008
Special Session "Mathematical Analysis of Bio-Inspired Computation"
at the IEEE Congress on Evolutionary Computation (CEC) 2008
(to be held as part of WCCI 2008) June 1-6, 2007, Hong Kong
Aims and Scope
Bio-inspired computation methods such as evolutionary algorithms or ant
colony optimization have been shown to be very successful when dealing
with problems from combinatorial optimization and in real-world
applications.
The theoretical understanding of these, in practice successful,
algorithms is an important topic and has gained increasing interest in
recent years. The aim of this special session is to bring together
people working on the mathematical analysis of bio-inspired computation
methods.
We invite the submission of papers using mathematical methods to analyze
all kinds of bio-inspired algorithms.
Topics of interest include (but are not limited to) population dynamics,
approaches from statistical mechanics, runtime analysis, fitness
landscapes and problem difficulty, and self-adaptation.
All papers should be submitted electronically through the conference
website. To submit to this special session use session mode "special"
and select the special session "Mathematical Analysis of Bio-Inspired
Computation" on the submission interface.
Important Dates
Paper Submission Deadline: December 1, 2007
Decision Notification: February 1, 2008
Camera-Ready Submission: March 1, 2008
Further information
CEC 2008 http://www.wcci2008.org/
Organizers
Benjamin Doerr, MPI Saarbruecken
Frank Neumann, MPI Saarbruecken
--------------------------------
Sender: Rick Riolo <rlriolo at umich.edu>
Subject: Call for papers: Genetic Programming Theory and Practice 2008
The Center for the Study of Complex Systems (CSCS) at the University
of Michigan is pleased to be hosting:
GPTP-2008 -- Sixth Annual Genetic Programming Theory and Practice Workshop
May 15-17 (Thur-Sat), 2008 Ann Arbor Michigan USA
GPTP is a small, one-track, invitation-only workshop devoted to the
integration of theory and practice. In particular, it focuses on how
theory can inform practice and what practice reveals about theory.
Past workshops have invited speakers to discuss theoretical work
and its value to practitioners of the art, and to review problems and
observations from practice that challenge existing theory.
This year we are asking researchers who are interested in being
invited to present a paper at this Workshop to submit an abstract
representing the work they would like to present. We will extend a
limited number of invitations to participate based on these abstracts.
We especially encourage papers which combine theory with results from
real-world applications, e.g., papers in which theory is used to guide
application to real-world problems, and/or results from real-world
applications that confirm (or contradict) theory. In this vein,
collaborations between "theorists" and "practitioners" are most
welcome, since such collaborations are quite rare but they are likely
to lead to new insights and novel results.
Some of the questions this workshop is expected to address include:
* Does the schema (or other analogous) theorem hold for GP, and what
does this mean for the design and use of GP applications?
* What are good ways to approach the application of GP to a new
problem? What are good ways to adjust control parameters within GP?
Are there heuristics to guide the choice of representation, search
operators, and so on?
* What are the "symptoms" of GP pathology (i.e., premature
convergence, overfitting, etc.)?
* How universal is the behavior of GP over different problems and data types?
* What are the good and bad features of GP for problem application?
* Are there ways to predict whether a problem is "GP tractable?"
* Application of GP to "real" problems, e.g., applications
with large amounts of noisy data, or applications in which GP
must compete with other more accepted approaches.
If you are interested in having a paper considered for presentation
at the workshop and included in the book, please send a one-page abstract
as well as a short CV of the authors to: gptp-2008 at umich.edu
by: 11 January 2008. *** Earlier responses are encouraged ***
The abstracts will be reviewed and decisions made by 18 January 2008.
We will select 6-8 proposed papers based on relevance to the GPTP workshop
goals, the expected quality of the contribution, and how the paper topic
will fit with the "mix" of other invited and selected papers.
If you do anticipate sending an abstract, please let us know as soon
possible, just so we have a rough idea of how many abstract to expect.
~~
Rick Riolo rlriolo at umich.edu
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--------------------------------
Sender: Ian Parmee <Ian.Parmee at uwe.ac.uk>
Subject: FW: Extended submission deadline ACDM '08
Due to numerous requests the submission deadline for full papers for
ACDM08 has now been extended to Friday 14th December '07.
See website http://www.ad-comtech.co.uk/ACDM08 for full details.
THE 8th INTERNATIONAL CONFERENCE ON ADAPTIVE COMPUTING IN DESIGN AND
MANUFACTURE (ACDM 2008)
http://www.ad-comtech.co.uk/ACDM08
APRIL 29th - 1st May, 2008 at ENGINEERS HOUSE, CLIFTON, BRISTOL, UK
CALL FOR PAPERS
As in previous years, the Conference will explore the integration of
Evolutionary search, exploration and optimization and associated
Computational Intelligence (CI) technologies (e.g. neural computing,
intelligent agent systems, fuzzy logic etc) across a wide spectrum of
design and manufacturing activities.
--------------------------------
Sender: Giovanni Squillero <giovanni.squillero at polito.it>
Subject: CfP: ICES 2008
The 8th International Conference of Evolvable Systems: From Biology to
Hardware
Prague, September 21-24, 2008. http://www.fit.vutbr.cz/events/ices2008
Keynote speakers:
Jordan Pollack - A new approach to machine embryogenesis
Krishnendu Chakrabarty - Automated Design of Microfluidic Biochips:
Connecting Biochemistry to Electronic System Design
Jaroslav Flegr - Postneodarwinistic theories of biological evolution -
>From selfish gene to frozen evolution
Topics to be covered include, but are not limited to:
Evolutionary hardware design
Evolutionary circuit diagnostics and testing
Self-reconfiguring/repairing and fault tolerant systems
Co-evolution of hybrid systems
Generative and developmental approaches
Embryonic hardware
Hardware/software co-evolution
Intrinsic and extrinsic evolution
Real-world applications of evolvable hardware
On-line hardware evolution
MEMS and nanotechnology in evolvable hardware
Evolutionary robotics
Formal models for bio-inspired hardware systems
Adaptive computing
Novel devices/testbeds/tools for evolvable hardware
Prospective authors are cordially invited to submit original papers
using the electronic submission form on the conference web
page. Papers should be written in English with a twelve page maximum
in the LNCS format. Please identify the contact author with complete
contact information. All accepted papers will be included in the
conference proceedings.
Important dates:
Deadline for submissions: March 19, 2008
Notification of acceptance: April 30, 2008
Camera-ready deadline: May 30, 2008
The ICES 2008 conference is organized by the Faculty of Information
Technology, Brno University of Technology. For further information
please visit the ICES 2008 web site or contact
Lukas Sekanina
Faculty of Information Technology Brno University of Technology
Bozetechova 2, 612 66 Brno Czech Republic
phone: +420 54114 1215 fax: +420 54114 1270
e-mail: sekanina at fit.vutbr.cz or Greg Hornby e-mail: hornby at email.arc.nasa.gov
[message edited for length]
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Sender: Bob McKay <rimadfa at googlemail.com>
Subject: WCCI08 Special Session: Grammars in Evolutionary Computation
Grammars in Evolutionary Computation
Congress on Evolutionary Computation Special Session 2008
at the IEEE World Congress on Computational Intelligence
2-6 June 2008, Hong Kong
Grammars have been used extensively since the inception of Genetic
Programming, and have gained increased popularity in recent years with
approaches such as CFG-GP, Grammatical Evolution, and TAG3P. The use
of Grammars in Evolutionary Computation has not been restricted to
Genetic Programming, however, with examples of Evolutionary Grammar
Learning and their hybridisation with other approaches such as Ant
Colony Optimization, Particle Swarm, and Differential Evolution. For
the first time the Grammars in Evolutionary Computation Special
Session will bring together researchers interested in all aspects of
Grammars in Evolutionary Computation into a single forum.
Scope of Special Session:
We welcome submissions on any aspect of the use of Grammars in
Evolutionary Computation including (but not limited to) the following:
* Grammar-based approaches to Genetic Programming
* Semantics, Context-Sensitivity and Alternative Grammar Representations
* Probabilistic Grammars and Estimation of Distribution Algorithms
* Theory and Foundations of Grammars
* Hybrid EC and Grammar approaches
* Applications of Grammar-based Evolutionary Algorithms
* Evolutionary Grammar Learning
Submission Details
Please submit papers according to the instructions on the WCCI website:
http://www.wcci2008.org/submission.htm
Important Dates
* Submission Deadline: 1 December 2007
* Notification of Acceptance: 1 February 2008
* Camera-Ready Papers: 1 March 2008
* Special Session: 2-6 June 2008
Special Session Website
http://sc.snu.ac.kr/SCLAB/Conference/grammarsinec.html
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Sender: Langdon W B <wlangdon at essex.ac.uk>
Subject: CIGPU-2008 Hong Kong, 1-6 June 2008
Submissions are invited for the WCCI-2008 Special Session on
Computational Intelligence on Consumer Games and Graphics Hardware
Papers may be on:
* Parallel genetic programming on GPU
* Parallel EP on GPU
* Parallel GA on GPU
* SVMs on GPU
* Neural networks on GPU
* Differential Evolution on GPU
* Learning Bayesian Networks on GPU
* Parallel search algorithms on GPU
* Data Mining on GPU
* Computational Biology or Bioinformatics on GPU
* Artificial Intelligence on the Xbox
* Geophysical modelling on Cell processors
* etc....
The www address is http://www.cs.ucl.ac.uk/staff/W.Langdon/cigpu/
Bill, Man Leung, Simon
W. B. Langdon,
Mathematical Sciences,
University of Essex
Wivenhoe Park,
Colchester CO4 3SQ, UK
http://www.essex.ac.uk/maths/staff/langdon/
CIGPU 2008 http://www.cs.ucl.ac.uk/staff/W.Langdon/cigpu/
Foundations of Genetic Programming
http://www.cs.ucl.ac.uk/staff/W.Langdon/FOGP
EuroGP 2008 http://evonet.lri.fr/EuroGP08/
GP EM http://www.springer.com/10710
GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/
--------------------------------
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End of Evolutionary Computation Digest
********************************
----- End forwarded message -----
--
Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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