EvoFIN **Further Deadline Extension 30 Nov**
Michael O'Neill
EvoFIN
4th European Event on Evolutionary and Natural Computation in Finance
and Economics
Istanbul, Turkey, 7-9 April
2010
REVISED SUBMISSION DEADLINE
30 NOVEMBER 2009
***
* Our apologies if you receive multiple copies of this announcement *
Several authors have contacted EvoStar to get an extension of the
submission deadline. It was therefore agreed, to extend the deadline
for all events. Authors who have already submitted their work may
update their submission until the deadline.
***
As evolutionary computing (EC) becomes a mature area of computer
science, researchers
and practitioners in other domains including engineering, medicine and
finance are adopting
evolutionary and related natural computing methodologies in order to
solve problems in their
own applications area. Although there has always been interaction
between the domains of EC
and finance/economics, it is noticeable that there has been an
increasing volume of research at
this interface in recent years. EvoFIN 2010 is the fourth edition of
this event, specifically dedicated
to the applications of EC (and related natural computing
methodologies) to finance and economics.
Interesting synergies exist between the methodological issues faced by
researchers in computational
finance and economics, and those faced by researchers in other Evo*
application domains.
Applications such as optimisation, model induction, clustering and
classification span multiple
domains and therefore novel EC methodologies, or novel applications of
these, are of common
interest to attendees at multiple events. Financial environments are
typically hard, being dynamic,
noisy and co-evolutionary. These environments serve as an excellent
test bed for novel evolutionary
methodologies. It is anticipated that this event will assist in a
useful two-way flow of ideas between
the finance/economics community and the EC community.
Areas of Interests and Contributions
EvoFIN 2010 focuses primarily on the use of EC and related natural
computing techniques in
computational finance and economics. High quality paper submissions
which demonstrate novelty
in terms of methodology, application or both, are strongly encouraged.
Applications of interest include (but are not limited to):
• algorithmic trading
• forecasting financial time series
• portfolio selection and management
• pricing complex financial products
• developing risk management systems
• financial engineering
Other applications of interest include artificial stock markets and
agent-based models of related
social processes. Methodologies of interest include EC methodologies
such as genetic programming,
genetic algorithms and evolutionary strategies, as well as other
natural computing methodologies
such as particle swarm, foraging algorithms, artificial immune
systems, hybrid systems,
and multi-agent systems.
Publication Details
Accepted papers will appear in the proceedings of Evo*, published in a
volume of the
Springer Lecture Notes in Computer Science, which will be available at
the Conference.
Submit your manuscript, at most 10 A4 pages long, in Springer LNCS
format no later than
November 30, 2009 using the online submission tool at
http://myreview.csregistry.org/evoapplications10/
Please refer to Springer LNCS web site for the paper formatting
instructions.
Submissions must be original and not published elsewhere, and will be
peer reviewed by
at least two members of the program committee.
The review process is double-blind and therefore the paper must not
contain any references
that would identify the authors.
The authors of accepted papers will have to improve their paper on the
basis of the reviewers'
comments and will be asked to send a camera ready version of their
manuscripts.
At least one author of each accepted paper has to register for the
conference no later than the
early registration deadline, and at least one author has to attend the
conference and present the paper.
Programme Chairs
Anthony Brabazon
University College Dublin
Ireland
anthony.brabazon(at)ucd.ie
Michael O'Neill
University College Dublin
Ireland
m.oneill(at)ucd.ie
---
Dr Michael O'Neill
Director - Natural Computing Research & Applications Group
School of Computer Science & Informatics
Complex & Adaptive Systems Laboratory
University College Dublin
Belfield, Dublin 4
Ireland
http://casl.ucd.ie/people/michael.oneill
GEVA - Grammatical Evolution in Java
http://ncra.ucd.ie/geva
Foundations in Grammatical Evolution for Dynamic Environments
http://www.springer.com/978-3-642-00313-4
Biologically Inspired Algorithms for Financial Modelling
http://www.springer.com/978-3-540-26252-7
Grammatical Evolution
http://www.springer.com/978-1-4020-7444-8
EvoFIN 2010
http://www.evostar.org
GECCO 2010
http://www.sigevo.org/gecco-2010/
Natural Computing in Computational Finance
http://www.springer.com/978-3-540-77476-1
Natural Computing in Computational Finance (Volume 2)
http://www.springer.com/978-3-540-95973-1