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EC-DIGEST-L  January 2009

EC-DIGEST-L January 2009

Subject:

EC-Digest v23n1

From:

Adam Campbell <[log in to unmask]>

Reply-To:

Evolutionary Computation Digest <[log in to unmask]>

Date:

Sat, 10 Jan 2009 01:22:52 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (564 lines)

Evolutionary Computation Digest Saturday, January, 10 2009 Volume 23 : 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
  -------------
    - Free Access available for publications of NICAL

  CFPs
  ----
    - Call for papers: Genetic Programming Theory and Practice 2009
    - Comp. Intel. on Consumer Games and Graphics Hardware CIGPU 2009 Init. CFP
    - CFP Journal of Heuristics ... on Hyper-heuristics in Search and Optimis.
    - Special Session on Evolutionary Computation
    - BADS 2009 - second call for papers
    - Special Session on Evolutionary Multi-objective Machine Learning
    - GECCO-2009 Deadline Extended to January 28, 2009

--------------------------------

CALENDAR OF GA-RELATED ACTIVITIES: (with EC-Digest issue reference)

Evo*'09,EuroGP,EvoCOP,EvoBIO,EvoWorkshops,Tübingen,Germany,Apr15-17,09  (v22n4)
CEC'09,IEEE Congress on Evol. Computa., Trondheim, Norway, May 18-21,09 (v22n5)
GEC-Summit'09, Wold Summit on Gen. and Evo. Comp, Shanghai, Jun 12-14,09(v22n9)
BADS'09,Intl WS Bio-Insp Alg for Distr Sys, Barcelona,Spain, Jun15-19,09(v23n1)
GECCO'09, Genetic and Evolutionary Conf., Montreal,Canada, July 8-12,09 (v22n7)
AIPR'09,Intl Conf on Art Int and Pattern Recogn. Orlando,FL,Jul 13-16,09(v22n9)

  Send announcements of other activities to [log in to unmask]

--------------------------------
Sender: Ke Tang <[log in to unmask]>
Subject: Free Access available for publications of NICAL

Free access has been made available for research papers affiliated to the
Nature Inspired Computation and Applications Laboratory (NICAL) at
University of Science and Technology of China (USTC).
Papers can be found at: http://nical.ustc.edu.cn/index.php?page=2008-2

1. G. Pugalenthi, K. Tang, P. N. Suganthan and S. Chakrabarti:
"Identification of structurally conserved residues of proteins in absence of
structural homologs using neural network ensemble", Bioinformatics, accepted
in November 2008. Available at
http://bioinformatics.oxfordjournals.org/cgi/reprint/btn618

2. Md. Monirul Islam, X. Yao, S. M. Shahriar Nirjon, M. Asiful Islam and K.
Murase: "Bagging and Boosting Negatively Correlated Neural Networks", IEEE
Transactions on Systems, Man, and Cybernetics: Part B, 38(3):771-784, June
2008. Available at
http://nical.ustc.edu.cn/uploads/papers/tsmc08_negboost.pdf

3. S. Salcedo-Sanz, J. A. Portilla-Figueras, E. G. Ortiz-Garc\'ia, A. M.
P\'erez-Bellido, C. Thraves, A. Fern\'andez-Anta and X. Yao: "Optimal switch
location in mobile communication networks using hybrid genetic algorithms",
Applied Soft Computing, 8(4):1486-1497, September 2008. Available at
http://nical.ustc.edu.cn/papers/asc2007b.pdf

4. Zhenyu Yang, Ke Tang and X. Yao: "Large Scale Evolutionary Optimization
Using Cooperative Coevolution", Information Sciences, 178(15):2985-2999,
August 2008.
Available at http://nical.ustc.edu.cn/papers/yangtangyao_ins.pdf

5. Min Zhang, Wenjian Luo and Xufa Wang: "Differential Evolution with
Dynamic Stochastic Selection for Constrained Optimization", Information
Sciences, 178(15):3043-3074, August 2008.
Available at http://nical.ustc.edu.cn/uploads/papers/zlw2008ins.pdf

6. Wei-lin Du and Bin Li: "Multi-strategy ensemble particle swarm
optimization for dynamic optimization", Information Sciences,
178(15):3096-3109, August 2008.
Available at http://nical.ustc.edu.cn/uploads/papers/duli2008ins.pdf

7. S. Salcedo-Sanz and X. Yao: "Assignment of Cells to Switches in a
Cellular Mobile Network using a Hybrid Hopfield Network-Genetic Algorithm
Approach", Applied Soft Computing, 8(1):216-224, January 2008.
Available at
http://www.cs.bham.ac.uk/%7Exin/papers/SanzYaoAppliedSoftComp2008.pdf

8. Yiguo Zhang, Wenjian Luo, Zeming Zhang, Bin Li and Xufa Wang: "A
Hardware-Software Partitioning Algorithm Based on Artificial Immune
Principles", Applied Soft Computing, 8(1): 383-391, January, 2008.
Available at http://nical.ustc.edu.cn/papers/ywzbx07.pdf

<...edited for length...>

--------------------------------
Sender: Rick Riolo <[log in to unmask]>
Subject: Call for papers: Genetic Programming Theory and Practice 2009

The Center for the Study of Complex Systems (CSCS) at the University of Michigan
is pleased to be hosting:
  GPTP-2009 -- Seventh Annual Genetic Programming Theory and Practice Workshop
  May 14-16 (Thur-Sat), 2009; 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:
* 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?
* 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 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.

To see a list of participants and papers for previous GPTP workshops, visit
  http://cscs.umich.edu/events/gptp-workshops
Papers have been published in a series of "Genetic Programming
Theory and Practice" books, one for each year (by Kluwer/Springer).

The format of this workshop will be similar to that of the previous workshops
(GPTP 2003-2008): a relatively small, invitation-only workshop on the campus of
the University of Michigan in Ann Arbor, with plenty of time for discussion of a
roughly equal mix of a total of 18 papers by theorists and practitioners.  In
order to facilitate a substantial exchange of ideas, workshop talks will be
approximately 30 minutes long, with considerable time allocated for discussion.
The papers will be reviewed by co-participants prior to the workshop, and
collected for publication in a book to be published as soon as possible after
the workshop.  As we would like to have the papers available for distribution
before the workshop, the likely deadline for the submission of papers will be
mid/late March 2009. Papers will be 16 pages max.

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: [log in to unmask]
by:  12 January 2009.     *** Earlier responses are encouraged ***

<...edited for length...>

--------------------------------
Sender: Garnett Wilson <[log in to unmask]>
Subject: Comp. Intel. on Consumer Games + Graphics Hardware CIGPU 2009 Init. CFP

CIGPU 2009  INITIAL CALL FOR PAPERS
The Second International Workshop and Tutorial on Computational Intelligence on
Consumer Games and Graphics Hardware (CIGPU 2009) will be held in Montréal,
Québec, Canada, as part of the Genetic and Evolutionary Computation Conference
(GECCO-2009), July 8-12, 2009.

Everyone who has implemented an evolutionary algorithm or other computational
intelligence approach using graphics processing units (GPUs), video game
systems, mobile devices, cellular phones, etc. will want to submit to this
workshop.  Due to its speed, price, and availability, there is increasing
interest in using mass consumer market commodity hardware for engineering and
scientific applications. Mostly this has concentrated upon graphics hardware,
particularly GPUs, due to their ability to offer teraflop performance on a
desktop using a restricted form of parallel computing (known as "General Purpose
computing on Graphics Processing Units",  or "GPGPU").  There is also increasing
interest in using the computing power of game consoles such as Microsoft's Xbox,
Sony's Playstation and the Cell processor, and portable entertainment and/or
cellular phone mobile devices for research and applications.

Submissions are invited in (but not limited to) the following areas:
-              Parallel genetic programming (GP) on GPU
-              Parallel genetic algorithms (GA) on GPU
-              Parallel evolutionary programming (EP) on GPU
-              Associated or hybrid computational intelligence techniques on GPU
   -          Support Vector Machines
   -          Bayesian Networks
   -          Parallel search algorithms
   -          Data mining
-              Differential Evolution on GPU
-              Computational Biology or Bioinformatics on GPU
-              Evolutionary computation on video game platforms
-              Evolutionary computation on mobile devices

The workshop will be held in conjunction with the tutorial "Accelerating
Evolutionary Computation with Graphics Processing Units" by Dr. Wolfgang Banzhaf
and Dr. Simon Harding.  In addition, an nVidia(R)-sponsored GECCO 2009
competition
on GPUs for Genetic and Evolutionary Computation has been organized with the
prize of a state-of-the-art nVidia(R) graphics card. Workshop website:
http://www.cs.ucl.ac.uk/external/W.Langdon/cigpu/

Submissions will be for papers up to 8 pages in ACM format, submitted to
[log in to unmask]  As the review process is double-blind, please make your
submission anonymous by removing all references to the authors.  Please see the
GECCO 2009 information for authors for further details.  All accepted papers
will be presented at CIGPU 2009 and published by Sheridan/ACM Press in the
workshop proceedings to be included on the GECCO Proceedings and Companion
Material CD and placed in the ACM Digital Library.

Paper submission deadline: March 25, 2009 (Please submit to [log in to unmask])
Notification to authors: April 3, 2009
Submission of camera-ready version: April 22, 2009
Conference registration: April 27, 2009
Workshop date: July 8 or 9 (TBA), 2009

Workshop Format and Schedule
CIGPU 2009 will be held as a full day event including:
- GPU Tutorial - Accelerating Evolutionary Computation with Graphics Processing
  Units (where this will shift with final scheduling)
- Paper presentations
- Discussion of experiences with latest GPU and commodity device technology
- Presentations by GPU competition entrants and subsequent award presentation
  (prize of state-of-the-art nVidia(R) graphics card)

--------------------------------
Sender: HH/JoH Call for Papers <[log in to unmask]>
Subject: CFP Journal of Heuristics ... on Hyper-heuristics in Search and Optimis

                  C A L L   F O R   P A P E R S
                       Journal of Heuristics
                          special issue on
            Hyper-heuristics in Search and Optimisation
        http://www.cs.nott.ac.uk/~exo/specialissue/jheur.html
                Submission deadline: March 1st, 2009

                       Automated Scheduling,
         Optimisation and Planning (ASAP) Research Group
                   http://www.asap.cs.nott.ac.uk
                    School of Computer Science
                   University of Nottingham, UK

Aim and Scope
Despite the significant progress in building search methodologies for a wide
variety of application areas so far, such approaches still require specialists
to integrate their expertise in a given problem domain. Many researchers from
computer science, artificial intelligence and operational research fields have
already acknowledged the need for developing automated systems to replace the
role of a human expert in such situations. One of the main ideas for automating
the design of heuristics requires the incorporation of learning mechanisms into
algorithms to adaptively guide the search. Both learning and adaptation
processes can be realised on-line or off-line, and be based on constructive or
perturbative heuristics. There is an emerging search and optimization tool in
this line of thinking: hyper-heuristics. Hyper-heuristics can be thought of as
"heuristics to select/adapt/generate heuristics".  They are techniques that
explore a search space of heuristics. Therefore, they differ from most
applications of meta-heuristics which explore a search space of solutions. There
might be multiple heuristics from which one can choose for solving a problem,
and each heuristic has its own strength and weakness. The idea is to
automatically devise algorithms by combining the strength and compensating the
weakness of known heuristics.  The approach is motivated by the aim of raising
the level of generality at which search systems can operate, with the end goal
of obtaining methods applicable to a wider range of problem domains than is
possible today.

The aim of this special issue is to reflect the most recent advances in the
field, and increase the awareness of the computing community at large on the
possibilities of raising the level of generality of search methodologies. Topics
of interests include (but are not limited to):

 - Hyper-heuristics
    - applications and  new challenging domains
    - classifications or categorisations of approaches
    - evolution of heuristics (by genetic programming)
    - issues in multi-objective, discrete and continuous optimisation
    - integration of machine learning techniques (e.g. reinforcement learning,
      classifier systems, neural networks, and others)
    - new frameworks for better utilization of local search components
    - scalability issues
    - parallel models
 - Related approaches
    - adaptive and self-tuning algorithms
    - adaptive multi-meme algorithms
    - algorithm portfolios
    - model-based search
    - reactive search

Instructions for authors
Authors should submit their manuscripts using the Journal of Heuristics
Editorial Manager at https://www.editorialmanager.com/heur/, please select
"Special Issue - Hyperheuristics" as the article type. All manuscripts should be
prepared in accordance with the journal's instructions for authors available at
the aforementioned website. Each manuscript will go through the journal's
typical strict peer review process to ensure the high quality of this volume.

Important dates
  Manuscript submissions:     March 1st, 2009
  Notification of acceptance: July 1st, 2009

--------------------------------
Sender: John Edward <[log in to unmask]>
Subject: Special session on Evolutionary Computation

Special Session on Evolutionary Computation at AIPR-09: call for papers

There is a special session on Evolutionary Computation at the 2009 International
Conference on Artificial Intelligence and Pattern Recognition (AIPR-09)
(website: http://www.PromoteResearch.org) that will be held during
July 13-16 2009 in Orlando, FL, USA. We invite draft paper submissions. The
conference will take place at the same time and venue where several other
international conferences are taking place. The other conferences include:

- International Conference on Automation, Robotics and Control Systems (ARCS-09)
- International Conference on Bioinformatics, Computational Biology, Genomics
  and Chemoinformatics (BCBGC-09)
- International Conference on Enterprise Information Systems and Web
  Technologies (EISWT-09)
- International Conference on High Performance Computing, Networking and
  Communication Systems (HPCNCS-09)
- International Conference on Information Security and Privacy (ISP-09)
- International Conference on Recent Advances in Information Technology and
  Applications (RAITA-09)
- International Conference on Software Engineering Theory and Practice (SETP-09)
- International Conference on Theory and Applications of Computational
  Science (TACS-09)
- International Conference on Theoretical and Mathematical Foundations of
  Computer Science (TMFCS-09)

The website http://www.PromoteResearch.org contains more details.

--------------------------------
Sender: Ivanoe De Falco <[log in to unmask]>
Subject: BADS 2009 - second call for papers

International Workshop on Bio-Inspired Algorithms for Distributed Systems
http://bads.icar.cnr.it
email: [log in to unmask]
Barcelona, Spain, June 19, 2009

In association with ICAC 2009
the 6th IEEE International Conference on Autonomic Computing & Communications
Barcelona, Spain, June 15-19, 2009

**** IMPORTANT DATES ****
January 31, 2009: Submission of Papers
March 15, 2009: Notification of Acceptance/ Rejection
April 06, 2009: Submission of Camera-Ready Copies
June 19, 2009: Workshop Takes Place

**** PUBLICATION ****
The workshop proceedings will be published by ACM along with the proceedings of
the other ICAC workshops, and distributed at the conference.

**** JOURNAL ISSUE ****
Selected papers will be invited to a special issue of the journal Future
Generation Computer Systems, Elsevier (approved).

**** SCOPE ****
Currently used computer systems 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. Decentralized architectures and algorithms, for example P2P
and Grid systems, are increasingly popular, but they need new types of
algorithms to be efficiently managed.

The workshop aims to gather scientists, engineers, and practitioners to share
and exchange their experiences, discuss challenges, and report state-of-the-art
and in-progress research on Bio-Inspired Algorithms and Systems.

**** AREAS OF INTEREST ****
In this workshop we are interested in the exploitation of bio-inspired
algorithms and systems to support the effective design and efficient
implementation of distributed systems.
The topics of interest include (but are not limited to):
* Bio-inspired algorithms for parallel and distributed computing
* Bio-inspired algorithms for P2P and Grid systems
* Bio-inspired techniques for the construction and management
 of distributed systems
* Parallel and distributed techniques of Swarm Intelligence:
 ant colonies, flock of birds, etc..
* Parallel and distributed evolutionary algorithms
* High performance tools for bio-inspired algorithms and systems
* Application of bio-inspired algorithms to routing, resource discovery,
 scheduling in parallel and distributed systems
* Bio-inspired algorithms for data mining, bioinformatics, etc.

**** SUBMISSION GUIDELINES ****
Original papers, no longer than 8 two-column pages (including figures
and references), are invited. Please use the ACM format available at
http://www.acm.org/sigs/pubs/proceed/template.html.
The call is open to all members of the Autonomic Computing and
Distributed Systems communities. All manuscripts will be peer-reviewed
and judged on merits including correctness, originality, technical strength,
quality of presentation, and relevance to the conference themes.
At least one author of each accepted submission must attend the workshop.
Further submission instructions will be posted at the workshop web site.

<...edited for length...>

--------------------------------
Sender: Ricardo Aler <[log in to unmask]>
Subject: Special Session on Evolutionary Multi-objective Machine Learning

Special Session on Evolutionary Multi-objective Machine Learning at HAIS'09
http://eva.evannai.inf.uc3m.es/?q=node/223<http://eva.evannai.inf.uc3m.es/>
HAIS'09 Conference: http://gicap.ubu.es/hais2009/main/home.shtml
<http://eva.evannai.inf.uc3m.es/>Important Dates

  - Submission of papers by Authors: 23th January, 2009
  - Notification of provisional acceptance: 27th February, 2009
  - Submission of final papers: 16th March, 2009
  - Early registration (special rates): 16th March, 2009
  - HAIS 2009 Conference: 10 th-12th June, 2009

Description
Many current research works have combined the global search abilities of
Evolutionary Computation with Machine Learning algorithms. Most of these
hybrid approaches use mono-objective fitness functions. However, many issues
in Machine Learning are multi-objective in nature. For instance, in feature
selection, the minimization of the number of attributes and the maximization
of accuracy are conflicting goals. Also, new powerful multi-objective
optimization algotithms have been developed. That is why recently,
multi-objective approaches have been applied to Machine Learning problems
such as: improving the generalization capabilities of learning algorithms,
generating diverse classifiers for building ensembles, reducing the
complexity of models for improving interpretability, multi-objective-based
feature selection, clustering, etc. This special session welcomes articles
on advances on evolutionary multi-objective-based Machine Learning. Papers
comparing and studying the advantages and disadvantages of the
multi-objective versus the mono-objective approach are also welcome.

Topics include but are not limited to:

  - Evolutionary multi-objective techniques for improving the generalization
    capabilities of machine learning algorithms
  - Evolutionary multi-objective techniques for improving interpretability
    of models
  - Evolutionary multi-objective feature selection
  - Evolutionary multi-objective ensemble generation
  - Empirical and/or theoretical comparisons between evolutionary mono-objective
    and multi-objective machine learning techniques
  - Multi-objective Genetic Programming
  - New evolutionary multi-objective algorithms speciallized in machine learning
  - Applications of evolutionary multi-objective learning

Contact information
  - Cochairs: Ricardo Aler, Inés M. Galván, José M. Valls
  - E-mail: [log in to unmask], [log in to unmask], [log in to unmask]
  - Postal Address: Avenida Universidad, 30; 28911 Leganés, Madrid (SPAIN)
  - Telephone: +34916249418
  - Fax: +34916249430
  - http://eva.evannai.inf.uc3m.es/?q=node/223<http://eva.evannai.inf.uc3m.es/

--------------------------------
Sender: Martin Pelikan <[log in to unmask]>
Subject: GECCO-2009 Deadline Extended to January 28, 2009

                     CALL FOR PAPERS FOR THE
 2009 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2009)
                July 8-12, 2009 (Wednesday-Sunday)
                        Montreal, Canada

 EXTENDED PAPER SUBMISSION DEADLINE: January 28, 2009 (Wednesday)
                http://www.sigevo.org/GECCO-2009
                     Organized by ACM SIGEVO

      18th International Conference on Genetic Algorithms (ICGA)
         and the 14th Genetic Programming Conference (GP)
     One Conference - Many Mini-Conferences - 15 Program Tracks

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.

IMPORTANT DATES
Paper Submission Deadline   January 28, 2009
Decision Notification       March 11, 2009
Camera-ready Submission     April 22, 2009

TUTORIALS
GECCO-2009 will feature more than 40 high-quality tutorials by leading
researchers in their fields. There will be both introductory and advanced
tutorials.

COMPETITIONS
GECCO-2009 will house several competitions:
 - 6th Annual HUMIES Awards for human-competitive results produced
  by genetic and evolutionary computation ($10,000 in prizes)
 - Simulated Car Racing
 - Evolutionary Robotics
 - GPUs for Genetic and Evolutionary Computation
 - Solve Rubik's Cube

WORKSHOPS
GECCO-2009 will feature 13 workshops:
 - Automated Heuristic Design: Crossing the Chasm for Search Methods
 - Black Box Optimization Benchmarking
 - Computational Intelligence on Consumer Games and Graphics Hardware
 - Defense Applications of Computational Intelligence Workshop
 - Evolutionary Computation and Multi-Agent Systems and Simulation
 - Generative & Developmental Systems Workshop
 - Learning Classifier Systems
 - Learning from Failures in Evolutionary Computation
 - Medical Applications of Genetic and Evolutionary Computation
 - Genetic and Evolutionary Computing in Support of Patient Care
 - Symbolic Regression and Modeling Workshop
 - Graduate Student Workshop
 - Undergraduate Student Workshop

MORE INFORMATION
Visit http://www.sigevo.org/gecco-2009 for information about
electronic submission procedures, formatting details, student travel
grants, the latest list of tutorials and workshop, late-breaking
papers, and more.

CONTACT
For technical matters, contact Conference Chair Franz Rothlauf at
  [log in to unmask]
For conference administration matters contact Primary Support Staff at
  [log in to unmask]

GECCO is sponsored by the Association for Computing Machinery Special
Interest Group for Genetic and Evolutionary Computation.

<...edited for length...>

--------------------------------
(UN)SUBSCRIPTION INSTRUCTIONS:

 - Send submissions (articles) to [log in to unmask]
   DO NOT send submissions to the [log in to unmask] address.

 - To subscribe send email to [log in to unmask] containing the
   following text in the body of the message:

        subscribe ec-digest-l <Your Name (up to 4 words)>

 - To unsubscribe send email to [log in to unmask] containing the
   following text in the body of the message:

        unsubscribe ec-digest-l

 - To change your email address, simply unsubscribe the old address
   and subscribe the new one.

 - Send other administrative requests to [log in to unmask]

 - For further information about the digest, see
   http://ec-digest.research.ucf.edu

--------------------------------

 End of Evolutionary Computation Digest
********************************

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