Date: Wed, 3 Jan 2007 11:05:19 -0500
Reply-To: Evolutionary Computation Digest <[log in to unmask]>
Sender: Evolutionary Computation Digest <[log in to unmask]>
From: Ozlem Ozmen Garibay <[log in to unmask]>
Subject: EC-Digest v21n1
Comments: To: [log in to unmask]
Content-Type: text/plain; charset="iso-8859-1"
Evolutionary Computation Digest Wednesday, January, 3 2007 Volume 21 : Issue 1
SUBMISSION ADDRESS: [log in to unmask]
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
-------------
- a new book
CFPs
----
- call for chapter: Evolutionary Computation in Practice by Springer
- Call for papers
- ACM TAAS CFP
- CfP Formal Theory at GECCO 2007
- EC: Special Issue on Evolutionary Computer Vision. Deadline extended
- IICAI-07 Call for papers
- Special session: Intelligent Systems in Bioinformatics
- CFP: Special Session on Linkage in EC (at IEEE CEC 2007)
- CfP: GECCO-2007 GA track
- January 17 Paper Submission Deadline for GECCO-2007 on July 7-11 in London
- Last Call for papers: Genetic Programming Theory and Practice 2007
- CFP: ECoMASS-2007
- ORP3 - Second call for papers - Reminder - Sept 2007 - Portugal
--------------------------------
CALENDAR OF GA-RELATED ACTIVITIES: (with EC-Digest issue reference)
FOGA-07, Foundations of Genetic Alg 9, Mexico City, Mexico, Jan 7-11,07 (v20n4)
EVO*-07, EuroGP,EvoCOP,EvoBIO,EvoWorkshops,Valencia,Spain,Apr 11-13,07 (v20n10)
GECCO-2007, Genetic and Evolutionary Conference, London,UK,July 7-11,07 (v21n1)
IEEE CEC-07, IEEE Cong. on Evolutionary Comp, Singapore, Sept 25-28,07 (v20n10)
Send announcements of other activities to [log in to unmask]
--------------------------------
Sender: Zbigniew Michalewicz <[log in to unmask]>
Subject: a new book
Title: Adaptive Business Intelligence
Publisher: Springer, 2007
Authors: Z. Michalewicz, M. Schmidt, M. Michalewicz, C. Chiriac
Summary:
In the modern information era, managers must recognize the competitive
opportunities represented by decision–support tools. Adaptive Business
Intelligence systems combine prediction and optimization techniques to assist
decision makers in complex, rapidly changing environments. These systems address
the fundamental questions: What is likely to happen in the future? And what is
the best decision right now? Adaptive Business Intelligence includes elements of
data mining, predictive modelling, forecasting, optimization, and adaptability.
This book is suitable for business and IT managers who make decisions in complex
industrial and service environments, non-specialists who want to understand the
science behind better predictions and decisions, and students and researchers
who need a quick introduction to this field.
For more info (including the first 16 pages of the book: Preface, Table of
Contents, and Chapter 1) please visit: www.AdaptiveBusinessIntelligence.com.
Enjoy!
--
Zbigniew Michalewicz phone: +61 8 8303 4130
Professor fax: +61 8 8303 4366
School of Computer Science
University of Adelaide
South Australia 5005
Australia
http://www.cs.adelaide.edu.au/~zbyszek
--------------------------------
Sender: Ang Yang <[log in to unmask]>
Subject: call for chapter: Evolutionary Computation in Practice by Springer
Proposal Submission Deadline: February 4, 2007
Full Chapter Due: April 30, 2007
EVOLUTIONARY COMPUTATION IN PRACTICE
Series in Studies in Computational Intelligence, Springer Verlag
Editors:
Ang Yang*, Yin Shan** and Lam Thu Bui*
*The Artificial Life and Adaptive Robotics Laboratory
School of Information Technology and Electrical Engineering
University of New South Wales, Australia
**Research School of Earth Sciences,Australia National University, Australia
INTRODUCTION: Evolutionary Computation (EC) has been a rapid developing field
of research with a wide range of techniques inspired by natural phenomena such
as natural selection, swarm, or immunity. To date, applying techniques of
evolutionary computation to real world problems has received considerable
attention from both researcher and practitioner and has obtained significant
success. This book aims at presenting the latest EC applications as well as
some important theoretical progress to a wide range of audience.
TOPICS: This book focuses on significant EC applications, as well as important
theoretic progress. Recommended topics include the applications of:
. genetic algorithms, genetic programming, evolution strategy, evolutionary
programming
. probabilistic models: estimation of distribution algorithms, probabilistic
search methods
. swam intelligence, ant colony optimization
. artificial immune systems
. agent systems
There is no restriction on the field of applications, which may include, but
not limit to, data mining, control, scheduling, gaming, forecasting, military
and security applications, bioinformatics and robotics.
The chapter proposal should be submitted at:
http://seal.tst.adfa.edu.au/~ayang/ECP/submission_start.php
MANUSCRIPT PREPARATION:
http://www.springer.com/west/home/engineering?SGWID=4-175-69-173623546-0
Inquiries can be forwarded to:
Ang Yang,
The Artificial Life and Adaptive Robotics Laboratory
School of Information Technology and Electrical Engineering,ADFA Campus
University of New South Wales
NorthCott Drive, Canberra ACT 2600, AUSTRALIA
Tel.: (+61) (2) 62688189 Fax: (+61) (2) 62688581
E-mail: [log in to unmask]
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Sender: John E. Edward <[log in to unmask]>
Subject: Call for papers
www.PromoteResearch.org
The 2007 International Multi-Conference in Computer Science, Engineering,
and Information Science will be held during 9-12 of July 2007 in Orlando, FL,
USA. The multi-conference consists of four major events namely
*International Conference on Artificial Intelligence and Pattern Recognition
(AIPR-07)
International Conference on Enterprise Information Systems and Web
Technologies (EISWT-07)**
**International Conference on High Performance Computing, Networking and
Communication Systems (HPCNCS-07)**
**International Conference on Software Engineering Theory and Practice
(SETP-07)***
All these events will be held simultaneously at the same place. Click on
www.PromoteResearch.org for more
information.
Sincerely
John Edward
Publicity committee co-chair
--------------------------------
Sender: Christian Igel <[log in to unmask]>
Subject: ACM TAAS CFP
ACM Transactions on Autonomous and Adaptive Systems
Special Issue on Organic Computing
SCOPE
Organic Computing (OC) has emerged recently as a challenging vision
for future information processing systems, based on the insight that
we will soon be surrounded by systems with massive numbers of
processing elements, sensors and actuators. Because of the size of
these systems it is infeasible for us to monitor and control them
entirely from external observations; instead they will need to help us
monitor, control and adapt themselves. To do so, these components will
need to be aware of their environment, to communicate freely, and to
organize themselves in order to perform the actions and services that
are required. The presence of such networks of intelligent systems in
our environment opens up fascinating application areas but, at the
same time, bears the problem of their controllability. Hence, we have
to construct these systems as robust, safe, and trustworthy as
possible. In order to achieve all these goals, our computing systems
will have to act more independently, flexibly, and autonomously. Thus,
we are interested in new analytic methods and architectures underlying
complex systems. In OC, we put an emphasis on systems that exhibit
"life-like" properties, such as being self-organizing,
self-configuring, self-healing, self-protecting, self-explaining, and
context-aware.
The vision of OC and its fundamental concepts arose independently in
different research areas like Neuroscience, Molecular Biology, and
Computer Science & Engineering. In this special issue, we welcome
contributions from all these areas to OC. We seek theoretical as well
as carefully evaluated practical papers dealing with complex computing
systems that
* adapt dynamically to the current conditions of their environments,
* exhibit "self-x" properties as described above, and
* are partly inspired by biological information processing principles.
For more information on OC see:
The Organic Computing Page: http://www.organic-computing.org
DFG Priority research program Organic Comp.: http://www.organic-computing.de/SPP
IEEE Organic Computing Task Force:
http://www.neuroinformatik.ruhr-uni-bochum.de/thbio/project/oc
For more information on ACM TAAS, please follow the link:
http://www.acm.org/pubs/taas
IMPORTANT DATES
Single page abstract submission (not required) deadline is February 16, 2007.
Paper submission deadline is May 1, 2007.
Submission feedback to authors will be sent in July 2007.
The tentative publication date is June 2008.
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Sender: Frank Neumann <[log in to unmask]>
Subject: CfP Formal Theory at GECCO 2007
Formal Theory Track
at the Genetic and Evolutionary Computation Conference (GECCO) 2007
July 7-11, 2007, London, United Kingdom
Aims and Scope
In last years considerable progress has been made in understanding randomized
search heuristics from a theoretical point of view. To support the interaction
between researchers working in this field a new track "Formal Theory" has been
established at GECCO.
The aim of this track is to provide a forum for strong theory papers that up
to now were scattered over different tracks. With the current track, we
increase the visibility of these works also towards the traditional algorithm
theory community. The definition of a theory paper is as follows.
A theory paper considers a particular randomized search heuristic on a
particular problem or class of problems. It contains formally stated theorems
which are proven rigorously. It is not enough to validate a model or a theory
by experiments.
Special Issue
Selected papers will be invited for submission to a special issue of
"Algorithmica". The papers will be due three months after the conference. The
refereeing process will be according to the high standards of the journal.
However, we will try our best to finalize the refereeing process within six
months.
Important Dates
Paper Submission Deadline: January 17, 2007
Decision Notification: March 14, 2007
Camera-Ready Submission: April 11, 2007
Further information
GECCO 2007 http://www.sigevo.org/gecco-2007/
Formal Theory Track http://www.mpi-sb.mpg.de/~doerr/gecco.html
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Sender: Stefano Cagnoni <[log in to unmask]>
Subject: EC: Special Issue on Evolutionary Computer Vision. Deadline extended
EVOLUTIONARY COMPUTATION JOURNAL,
MIT PRESS
Special Issue on Evolutionary Computer Vision
Guest Editors
Gustavo Olague, CICESE Mexico, [log in to unmask]
Evelyne Lutton, INRIA, France, [log in to unmask]
Stefano Cagnoni, Univ. degli Studi di Parma, Italy, [log in to unmask]
IMPORTANT DATES
Submission Deadline: *January 15, 2007*
First review: March 15, 2007
Revision due: May 15, 2007
Final decision: August 1, 2007.
In recent years, the evolutionary computation community has shown an
increasing interest in what is now called "Evolutionary Computer
Vision" due to the rich source of problems in which evolutionary
algorithms can be used to develop theoretical and applied solutions in
areas of human endeavor that matter. We strive to provide a highest
quality special issue on behalf of the Evolutionary Computation
Community, which illustrates the state-of-the-art in Evolutionary
Computer Vision.
We are soliciting papers on this topic to appear in a special issue of
Evolutionary Computation, MIT Press. Papers appropriate to this issue
will have theoretical and experimental evaluation of vision algorithms
as their central focus, with the application cutting across the
following areas, but which are not necessarily limited to:
1) Low-level vision
Evolutionary optimization, adaptation and learning algorithms for edge
detection, image segmentation, figure-ground separation, texture
analysis, feature selection, shape-from-shading, denoising and surface
reconstruction.
2) High-level vision
Evolutionary computation for object recognition, scene analysis,
indexing and search of model/image databases, and high-level learning
of symbolic descriptions.
3) Active vision
Evolutionary computation for autonomous vision-guided navigation, path
planning, sensing strategies, sensor integration, visual servoing,
vergence and gaze control, hand-eye coordination, active tracking and
vision-guided task planning.
4) Neural vision
Evolutionary computation for learning, adaptation and optimization of
neural network structure and topology for computer vision problems.
All submitted papers will be reviewed according to the guidelines and
standards of Evolutionary Computation MIT Press. The submissions must
be made electronically on the Evolutionary Computation paper
submission and review Web site at http://ecj.lri.fr/.
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--------------------------------
Sender: Bhanu Prasad <[log in to unmask]>
Subject: IICAI-07 Call for papers
The 2007 *Indian International Conference on Artificial
Intelligence*(IICAI-07) will be held during
*17-19 of December 2007* in *Pune**, India*. The conference consists of
invited talks, keynote speeches, local tours, tutorials, etc. Click on
http://www.iiconference.org for more information.
Feel free to contact me.
Sincerely
Bhanu Prasad
IICAI-07 Chair
Department of Computer and Information Sciences, Florida A&M University
Tallahassee, FL 32307, USA
Email: [log in to unmask]
--------------------------------
Sender: <[log in to unmask]>
Subject: Special session: Intelligent Systems in Bioinformatics
Intelligent Systems in Bioinformatics, ISDA'2007 - Special Session
Rio de Janeiro, Brazil, 22-24/October/2007
http://bioinfo.cpgei.cefetpr.br/isda2007/
Bioinformatics is at the intersection of information technology,
computer science and biology. Research in this are comprises the use of
several computational methods for solving complex problems arising from
the analysis of biological data. The goal of this special session of
ISDA’2007 is to gather together researchers interested in the
application of intelligent systems in bioinformatics, assembling a set of
high-quality contributions that reflect the state-of-the-art in the area.
Topics of interest may include the use of intelligent techniques, such as
fuzzy systems, artificial neural networks, evolutionary computation,
hybrid systems, and other artificial intelligence techniques in
bioinformatics problems (this is not an exhaustive list):
*DNA fragments assembling
*sequence alignment,
*phylogenetic analysis,
*gene finding and DNA analysis,
*protein structure prediction and folding,
*gene expression analysis,
*metabolic networks.
Prospective authors are invited to submit a full paper of 8 pages (PDF),
according to the LNCS format. For more details, see ISDA'2007 submission
page: http://www.isda07.eng.uerj.br
Authors of the best papers of this special session could be invited to
prepare an extended/reviewed version to be considered for publication in
the Journal of Computational Intelligence in Bioinformatics. The tentative
schedule is:
*Paper submission: May 16th, 2007
*Notification of acceptance/rejection: June 1st, 2007
*Final version submission: June 15, 2007
This special session is organized by:
* Heitor S. Lopes
Bioinformatics Lab.,Federal University of Technology Parana, Curitiba, Brazil
[log in to unmask]
http://www.cpgei.cefetpr.br/~hslopes/index-english.html
* Yuehui Chen
Computational Intelligence Lab.,Jinan University, Jinan, China
[log in to unmask], http://cilab.ujn.edu.cn/
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--------------------------------
Sender: Ying-ping Chen <[log in to unmask]>
Subject: CFP: Special Session on Linkage in EC (at IEEE CEC 2007)
Special Session on Linkage in Evolutionary Computation (LEC 2007)
URL: http://lec2007.nclab.tw
will be held at 2007 IEEE Congress on Evolutionary Computation
September 25-28, 2007, Singapore
OVERVIEW & SCOPE
Genetic and evolutionary algorithms (GEAs) are powerful search methods
based on the paradigm of evolution and widely applied to solve problems
in many disciplines. In order to improve the performance and
applicability, numerous sophisticated mechanisms have been introduced
and integrated into GEAs in the past decades. One major category of
these enhancing mechanisms is the concept of linkage, which models the
relation between the decision variables with the genetic linkage
observed in biological systems, and linkage learning techniques. Linkage
learning connects the computational optimization methodologies and the
natural evolution mechanisms. Not only can learning and adapting natural
mechanisms enable us to design better computational methodologies, but
also the insight gained by observing and analyzing the algorithmic
behavior permits us to further understand biological systems, based on
which GEAs are developed.
This special session aims at providing a forum for reviewing of current
state-of-art linkage learning techniques, exchanging of ideas and
viewpoints on linkage, as well as discussing the future directions. We
invite researchers to submit their original and unpublished work related
to, but not limited to, the following topics:
* Linkage in biological systems and computational algorithms
* Linkage for discrete/continuous variables
* Linkage processing, handling, and learning techniques
* Identification and utilization of linkage
* Adaptation of representation and/or operators for linkage
* Theoretical aspects of linkage
* Applications of the linkage concept
* Position papers
* Real-world applications
IMPORTANT DATES
Paper Submission: March 15, 2007
Decision Notification: May 15, 2007
Camera-Ready Submission: June 15, 2007
SESSION ORGANIZERS
Ying-ping Chen, National Chiao Tung Univ., Taiwan, [log in to unmask]
Meng-Hiot Lim, Nanyang Technological Univ., Singapore, [log in to unmask]
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--------------------------------
Sender: Juergen Branke <[log in to unmask]>
Subject: CfP: GECCO-2007 GA track
Track on
Genetic Algorithms (GA)
at GECCO-2007
to be held at University College London
July 7-11, 2007
Paper Submission Site: http://www.sigevo.org/gecco-2007/papers.html
------------------------------------------------------------------
The Genetic Algorithms track has always been the largest scientific
track at GECCO. We invite submissions to the GA track that present
original work on all aspects of genetic algorithms, including, but
not limited to:
- Theoretical aspects of GA
- Design of new GAs (including representation and operators
- Improvements over existing algorithms
- Comparisons with other methods / empirical performance analysis
- Hybrid approaches
- New application areas
- Handling uncertainty (dynamic and stochastic problems, robustness)
- Metamodelling
- Interactive GAs
- Parallelization and other efficiency-enhancement techniques
As largest track within GECCO, the GA track is well-attended. This
will be an excellent opportunity to present and discuss your research/
application with experts and participants of GECCO.
Summary of Important Dates:
Wednesday, January 17, 2007 Electronic Paper and Title Page
Submission Deadline
Wednesday, March 14, 2007 Author Notifications Sent
Wednesday, April 11, 2007 Conference Registration Deadline for
Authors of Papers and Posters
Wednesday, April 11, 2007 Camera-Ready Copy Deadline
July 7-11, 2007 GECCO-2007
Paper Submission Site: http://www.sigevo.org/gecco-2007/papers.html
Jurgen Branke
Institute AIFB, University of Karlsruhe, Germany
Kumara Sastry
Illinois Genetic Algorithm Laboratory, USA
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--------------------------------
Sender: GECCO ANNOUNCE <[log in to unmask]>
Subject: Jan 17 Paper Submission Deadline for GECCO-2007 on July 7-11 in London
CALL FOR PAPERS IN THE
2007 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2007)
July 7-11, 2007 (Saturday-Wednesday)
University College London
London, UK
(pending ACM approval)
----------------------------------------
Organized by ACM SIGEVO
www.sigevo.org/GECCO-2007
----------------------------------------
------------------------------------------------------------------------
16th International Conference on Genetic Algorithms (ICGA)
and the 12th Genetic Programming Conference (GP)
------------------------------------------------------------------------
One Conference - Many Mini-Conferences - 15 Program Tracks
The Genetic and Evolutionary Computation Conference (GECCO-2007) will
present the latest high-quality results in the growing field of genetic
and evolutionary computation. Topics include: genetic algorithms,
genetic programming, evolution strategies, evolutionary programming,
real-world applications, learning classifier systems and other
genetics-based machine learning, evolvable hardware, artificial life,
adaptive behavior, ant colony optimization, swarm intelligence,
biological applications, evolutionary robotics, coevolution, artificial
immune systems, and more.
Keynote Event
On Monday evening, 9 July 2007, Professors Richard Dawkins, Lewis
Wolpert, and Steve Jones will take part in a public debate, discussing
the emergence of complexity in evolution. This will be a
once-in-a-lifetime opportunity to hear and interact with some of the
most famous names in evolutionary biology.
More Information
Visit www.sigevo.org/gecco-2007 for about electronic submission
procedures, formatting details, student travel grants, the latest list
of tutorials and workshop, late-breaking papers, and more.
For technical matters contact Conference Chair Hod Lipson at
[log in to unmask] For conference administration matters contact
Primary Support Staff at [log in to unmask]
[... edited due to length .... ]
--------------------------------
Sender: Rick Riolo <[log in to unmask]>
Subject: Last Call for papers: Genetic Programming Theory and Practice 2007
Last call -- abstracts due 2007 January 7 (see details below)
The Center for the Study of Complex Systems (CSCS) at the University
of Michigan is pleased to be hosting: GPTP-2007 -- Fifth Annual
Genetic Programming Theory and Practice Workshop
May 17-19 (Thur-Sat), 2007 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.
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 noisty data, or applications in which GP
must compete with other more accepted approaches.
To see a list of participants and papers for previous GPTP workshops, visit
http://cscs.umich.edu/events/gptp-workshops
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.
If you have questions, please email them to [log in to unmask] .
Rick Riolo
[log in to unmask]
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab,University of Michigan,Ann Arbor MI 48109-1120
Phone: 734 763 3323, Fax: 734 763 9267
http://cscs.umich.edu/~rlr
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Sender: Sevan G. Ficici <[log in to unmask]>
Subject: CFP: ECoMASS-2007
Evolutionary Computation and Multi-Agent Systems and
Simulation Workshop (ECoMASS-2007)
http://www.eecs.harvard.edu/~sevan/ecomass07/ at the
Genetic and Evolutionary Computation Conference (GECCO-2007)
http://www.sigevo.org/gecco-2007
7-11 July, 2007, University College London, London, UK
---------------------------------------------------------------
Evolutionary computation (EC) and multi-agent systems and simulation
(MASS) both involve populations of agents. EC is a learning technique
by which a population of individual agents adapt according to the
selection pressures exerted by an environment; MASS seeks to
understand how to coordinate the actions of a population of (possibly
selfish) autonomous agents that share an environment so that some
outcome is achieved. Both EC and MASS have top-down and bottom-up
features.
The goal of this workshop is to facilitate the examination and
development of techniques at the intersection of evolutionary
computation and multi-agent systems and simulation.
*List of Example Topics
-Multi-agent systems and agent-based models utilizing evolutionary
computation
-Optimization of multi-agent systems and agent-based models using
evolutionary computation
-Evolutionary computation models which rely not on explicit fitness
functions but rather implicit fitness functions defined by the
relationship to other individuals / agents
-Applications utilizing MASS and EC in combination
-Biological agent-based models (usually called individual-based
models) involving evolution
-Evolution of cooperation and altruism
-Genotypic representation of the complex phenotypic strategies of MASS
-Evolutionary learning within MASS (including Baldwinian learning and
phenotypic plasticity)
-Emergence and feedbacks
-Open-ended strategy spaces and evolution
-Adaptive individuals within evolving populations
*Paper Submission
See http://www.eecs.harvard.edu/~sevan/ecomass07/ for details.
*Important Dates
Paper submission deadline: 23 March, 2007
Notification of acceptance: 30 March, 2007
*Workshop Chairs:
Dr. William Rand, Northwestern University
Dr. Sevan Ficici, Harvard University
[... edited due to length .... ]
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Sender: Ismael Vaz <[log in to unmask]>
Subject: ORP3 - Second call for papers - Reminder - Sept 2007 - Portugal
Operations Research Peripatetic Postgraduate Programme
A EURO Conference for young OR researchers
Minho University Engineering School
September 12-15 2007 Guimaraes, Portugal
What is ORP3?
ORP3 is a new instrument of EURO designed for young OR
researchers and practitioners.
ORP3 aims at being a forum promoting scientific and social
exchanges between the members of the future generation of OR in
academic research and industry.
Submission Requirements
In order to attend ORP3 as a participant you must be one of the following:
- A Young PhD Student
- A young post doctoral OR researcher (maximum two years after completing
your doctoral thesis at the deadline for submission)
-A young OR analyst (maximum two years of professional experience at the
deadline for submission)
The selection of participants is made by the scientific committee on the
basis of full paper submissions of publishable quality in an international
OR journal.
Co-authored papers are acceptable as long as they are presented by a
participant satisfying the aforementioned requirements by March 2007.
The conference is open to the whole scope of the OR, but the following
topics are mostly welcome:
- Bundle Methods;
- Derivative Free Optimization;
- Integer Programming and Combinatorial Optimization;
- Linear Programming;
- Multiobjective Optimization;
- Nonlinear Optimization;
- Simulation.
Dates
January 31, 2007 Deadline for submission
June 15, 2007 Notification of acceptance
July 15, 2007 Deadline for registration
Contact
For further information see http://www.orp3.com,http://www.norg.uminho.pt/orp3/
or write to [log in to unmask]
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--------------------------------
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End of Evolutionary Computation Digest
********************************