1. Dedicated EC Journals:
  Evolutionary Computation
     Published  quarterly  by:  MIT  Press  Journals,  55  Hayward Street,
     Cambridge, MA  02142-1399,  USA.  Tel:  (617)  253-2889,  Fax:  (617)
     258-6779, <journals-orders@mit.edu>

     Along  with  the  explosive growth of the computing industry has come
     the need  to  design  systems  capable  of  functioning  in  complex,
     changing  ENVIRONMENTs.   Considerable  effort is underway to explore
     alternative approaches to  designing  more  robust  computer  systems
     capable  of  learning  from  and adapting to the environment in which
     they operate.

     One broad class of such techniques takes its inspiration from natural
     systems   with   particular   emphasis   on  evolutionary  models  of
     computation such as GAs, ESs.  CFS, and EP.  Until  now,  information
     on these techniques has been widely spread over numerous disciplines,
     conferences, and journals.  [eds note: The editorial board reads like
     a  who-is-who  in  EC.]   For paper e-mail submission, use one of the
     following addresses:

     o  America:       John Grefenstette <gref@aic.nrl.navy.mil>

     o  Europe:        Heinz Muehlenbein <heinz.muehlenbein@gmd.de>

     o  Asia:          Hiroaki Kitano <kitano@csl.sony.co.jp>

     o  Ed-in-chief:   Ken De Jong <kdejong@aic.gmu.edu>

     Please note, that submissions should be  sent  to  one  of  the  sub-
     editors.    Grefenstette   and  Kitano  accept  LaTeX  or  PostScript
     submissions.

  BioSystems
     Journal of Biological and Information Processing  Sciences,  Elsevier
     Science   Publishers,   P.O.   Box   1527,  1000  BM  Amsterdam,  The
     Netherlands.

     BioSystems encourages experimental,  computational,  and  theoretical
     articles   that   link   biology,   evolutionary  thinking,  and  the
     information processing sciences. The link areas form  a  circle  that
     encompasses   the   fundamental   nature  of  biological  information
     processing, computational modeling  of  complex  biological  systems,
     evolutionary  models  of  computation,  the application of biological
     principles to the design of novel computing systems, and the  use  of
     biomolecular  materials to synthesize artificial systems that capture
     essential principles of natural biological information processing.

     Topics: Molecular  EVOLUTION:  Self-organizing  and  self-replicating
     systems,  Origin  and  evolution of the genetic mechanism; Biological
     Information Processing:   Molecular  recognition,  Cellular  control,
     Neuromuscular computing, Biological adaptability, Molecular computing
     technologies;   EVOLUTIONARY   SYSTEMS:    Stochastic    EVOLUTIONARY
     ALGORITHMs,  Evolutionary  OPTIMIZATION,  SIMULATION  of  genetic and
     ecological systems,  Applications  (neural  nets,  machine  learning,
     robotics))

  IEEE Transactions on Evolutionary Computation
     The  IEEE  Transactions  on  Evolutionary  Computation  will  publish
     archival journal quality original papers in EVOLUTIONARY  COMPUTATION
     and   related  areas,  with  particular  emphasis  on  the  practical
     application of the techniques to solving real problems  in  industry,
     medicine, and other disciplines.  Specific techniques include but are
     not  limited  to  EVOLUTION  STRATEGIEs,  EVOLUTIONARY   PROGRAMMING,
     GENETIC ALGORITHMs, and associated methods of GENETIC PROGRAMMING and
     CLASSIFIER SYSTEMs.  Papers emphasizing mathematical  results  should
     ideally seek to put these results in the context of algorithm design,
     however purely theoretical papers will be considered.   Other  papers
     in  the  areas  of  cultural  algorithms,  ARTIFICIAL LIFE, molecular
     computing, evolvable hardware, and the use of simulated evolution  to
     gain  a  better  understanding  of naturally evolved systems are also
     encouraged.

     Papers must conform to IEEE standard submission guidelines which  are
     available   in   IEEE   transactions   (for  example,  see  the  IEEE
     Transactions on Neural Networks or the  IEEE  Transactions  on  Fuzzy
     Systems).  Those  wanting  to receive an author's information booklet
     from the IEEE can request this at <trans@ieee.org>.

     Six (6) hard copies of the manuscript should be  sent  to:  David  B.
     Fogel,    Editor-in-Chief,    IEEE   Transactions   on   Evolutionary
     Computation, c/o Natural Selection, Inc., 3333 N. Torrey  Pines  Ct.,
     Suite 200, La Jolla, CA  92037, USA.

     The  editor-in-chief will be pleased to comment on the suitability of
     other submissions at the request of the authors.   Further  questions
     can  be directed to <d.fogel@ieee.org>.  The transactions will appear
     quarterly.

 2. Related Journals:
  Complex Systems
     Published by: Complex Systems  Publications,  Inc.,  P.O.  Box  6149,
     Champaign, IL 61821-8149, USA.

     Complex  Systems  devotes to the rapid publication of research on the
     science,  mathematics,  and  engineering  of  systems   with   simple
     components   but   complex   overall   behavior.   Try  finger(1)  on
     <jcs@wri.com> for additional info.

  Machine Learning
     Published by:  Kluwer  Academic  Publishers,  P.O.  Box  358,  Accord
     Station, Hingham, MA 02018-0358 USA.

     Machine   Learning   is   an  international  forum  for  research  on
     computational approaches to learning. The journal publishes  articles
     reporting  substantive  research  results on a wide range of learning
     methods applied to a variety of task domains. The  ideal  paper  will
     make   a   theoretical   contribution   supported   by   a   computer
     implementation.

     The journal  has  published  many  key  papers  in  learning  theory,
     reinforcement  learning,  and  decision  tree  methods.   The journal
     regularly publishes special issues devoted to GAs and CFS as well.

  Adaptive Behavior
     Published quarterly by: MIT Press Journals, details above.

     Broadly, behavior is adaptive if it deals successfully  with  changes
     circumstances.   For   example,   when   surprised,  a  hungry  --but
     environmentally informed-- mouse  may  dart  for  cover  rather  than
     another piece of cheese. Similarly, a tripped-up ROBOT [eds note: not
     necessarily built by Sirius Cybernetics Corp.]  could get back on its
     feet  and  accomplish a moonrock-finding mission if it had learned to
     cope with unanticipated lunar potholes.

     Adaptive Behavior thus takes an approach complementary to traditional
     AI.   Now basic abilities that allow animals to survive, or robots to
     perform their mission in unpredictable ENVIRONMENTs, will be  studied
     in preference to more elaborate and human-specific abilities.

     The  journal  also  aims  to  investigate  which  new  insights  into
     intelligence and cognition can be achieved by explicitly taking  into
     account  the  environment  feedback  --mediated by behavior-- that an
     animal or  a  robot  receives,  instead  of  studying  components  of
     intelligence in isolation.

     Topics:  INDIVIDUAL  and  Collective  Behavior.  Neural Correlates of
     Behavior. Perception  and  Motor  Control.  Motivation  and  Emotion.
     Action  SELECTION  and  Behavioral  Sequences. Internal World Models.
     Ontogeny, Learning, and EVOLUTION.  Characterization of environments.

  Artificial Life
     Published quarterly by: MIT Press Journals, details above.
     Artificial  Life  is  intended  to  be  the  primary  forum  for  the
     dissemination of scientific and engineering research in the field  of
     ARTIFICIAL  LIFE.   It will report on synthetic biological work being
     carried out in any and all media,  from  the  familiar  "wetware"  of
     organic chemistry, through the inorganic "hardware" of mobile robots,
     all the way to the virtual "software" residing inside computers.

     Research topics ranging  from  the  fabrication  of  self-replicating
     molecules  to  the study of evolving POPULATIONs of computer programs
     will be included.

     There will also be occasional issues devoted to special topics,  such
     as  L-Systems,  GENETIC  ALGORITHMs, in-vitro evolution of molecules,
     artificial cells, computer viruses, and many social and philosophical
     issues arising from the attempt to synthesize life artificially.

     [eds note: The editorial board reads like a who-is-who in ALIFE]

  Evolutionary Economics
     Published  quarterly  by:  Springer-Verlag  New  York,  Inc., Service
     Center Secaucus, 44 Hartz Way, Secaucus, NJ 07094, USA.   Tel:  (201)
     348-4033, Fax: (201) 348-4505.

     Evolutionary  Economics  aims to provide an international forum for a
     new approach to economics.  Following  the  tradition  of  Joseph  A.
     Schlumpeter,  it  is  designed  to focus on original research with an
     evolutionary conception of the economy.   The  journal  will  publish
     articles  with  strong  emphasis  on  dynamics,  changing  structures
     (including technologies, institutions, beliefs, imitation, etc.).  It
     favors  interdisciplinary  analysis  and  is  devoted to theoretical,
     methodological and applied work.

     Research  areas  include:  industrial  dynamics;  multi-sectoral  and
     cross-country   studies   of   productivity;   innovations   and  new
     technologies; dynamic competition and structural change in a national
     and  international  context;  causes  and  effects  of technological,
     political and social changes; cyclic processes in economic evolution;
     the  role of governments in a dynamic world; modeling complex dynamic
     economic systems; application of concepts, such as self-organization,
     bifurcation, and chaos theory to economics; evolutionary games.