CFP: EVOLUTIONARY COMPUTATION IN MEDICINE
Moshe.Sipper at di.epfl.ch
Wed Dec 16 07:51:54 EST 1998
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SECOND CALL FOR SUBMISSIONS
Special Issue of the Journal "Artificial Intelligence in Medicine"
(Published by Elsevier)
Theme: EVOLUTIONARY COMPUTATION IN MEDICINE
Guest-Editors: Eytan Ruppin, James A. Reggia, and Moshe Sipper
Tel-Aviv U., Univ. Maryland, EPFL -- Lausanne
The idea of applying the biological principle of natural evolution to
artificial systems, introduced more than four decades ago, has seen
impressive growth in the past few years. Usually grouped under the
term "evolutionary algorithms" or "evolutionary computation,"
we find the domains of genetic algorithms, evolution strategies,
evolutionary programming, and genetic programming. Central to all
these different methodologies is the idea of solving problems by
evolving an initially random population of possible solutions, through
the application of "genetic" operators, such that in time increasingly "fit"
(i.e., better) solutions emerge. Evolutionary algorithms have been
successfully applied to numerous problems from different domains,
including optimization, automatic programming, machine learning, and
economics. As evolutionary computation studies have advanced during the
last several years, there has been an increasing interest in
adopting them to investigate a wide range of domains in medicine, ranging
from the modeling of the immune system to epidemiological studies of disease
spread, population genetics, and more generally, as optimization and
classification tools for improved diagnosis and decision-making systems
OBJECTIVES OF THE SPECIAL ISSUE
The objective of this special issue on evolutionary computation in medicine
is to report on the recent studies in this field. The main goal is to
increase the awareness of the AI medical community to this research,
currently primarily carried out by members of the evolutionary computation
community. By bringing together a series of evolutionary computation
papers we strive to produce a contemporary overview
of the kinds of problems and solutions that this growing research field
has generated, and to point to promising future avenues of research.
The papers are expected to cover one or more of the following
three primary themes:
-- Using evolutionary algorithms to study and model basic questions
in medical research.
-- Applications of evolutionary computation algorithms to medical
diagnosis and management, with emphasis on a systematic comparison of
the latter with other existing methods.
-- Methodological issues involved in applying evolutionary computation
to study problems in medicine, including
obtaining sufficient data and normalizing it, methods for reducing
the search space dimension, choices between different evolutionary
computation techniques, and testing and validating the results.
All submitted manuscripts will be subject to a rigorous review
process. The special issue will include five (5) papers of 15-20 pages
each, plus an editorial. A double issue will be considered in the
case of sufficient papers worthy of publication.
Manuscripts should be prepared in accordance
with the journal "submission guidelines," which are available on request,
and may also be retrieved from http://www.elsevier.nl/locate/aimed.
February 15, 1999 Submission of tentative title and brief abstract
to declare intention to submit paper. This
should be done electronically, to:
ruppin at math.tau.ac.il.
March 15, 1999 Receipt of full papers. Three copies of a manuscript
should be sent to:
Department of Computer Science
School of Mathematics
Tel-Aviv, Israel, 69978.
August 1, 1999 Notification of acceptance
October 1, 1999 Receipt of final version of manuscripts
Mid 2000 Publication of AIM special issue
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