-------------------
 eafplot.pl
-------------------

Perl script to plot attainment surfaces for a set of input points.


 Requirements of `eafplot.pl'
 ----------------------------

The program has been tested on GNU/Linux using bash shell. If you
have success or problems using other systems, please let me know.

The following programs are required:

 * Perl 5

 * eaf R package: http://iridia.ulb.ac.be/~manuel/eaftools

The following programs are only required if the corresponding features
are enabled by editing the script:

 * ps2eps: Filter PS files and remove excessive margin whitespace.

 * gzip

 * ImageMagick (in particular, the program `convert')


  Using `eafplot.pl'
  --------------------

See the output of

  eafplot.pl --help


  License
  -------

Copyright (c) 2010
Manuel Lopez-Ibanez  <manuel.lopez-ibanez@ulb.ac.be>

This program is free software (software libre); you can redistribute
it and/or modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2 of the
License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
General Public License for more details.

 IMPORTANT NOTE: Please be aware that the fact that this program is
 released as Free Software does not excuse you from scientific
 propriety, which obligates you to give appropriate credit!  If you
 write a scientific paper describing research that made substantive
 use of this program, it is your obligation as a scientist to (a)
 mention the fashion in which this software was used in the Methods
 section; (b) mention the algorithm in the References section. The
 appropriate citation is:

    Manuel López-Ibáñez, Luís Paquete, and Thomas Stützle.
    Exploratory Analysis of Stochastic Local Search Algorithms in
    Biobjective Optimization. In T. Bartz-Beielstein, M. Chiarandini, 
    L. Paquete, and M. Preuss, editors, Experimental Methods for the
    Analysis of Optimization Algorithms, pages 209–222. Springer, 
    Berlin, Germany, 2010.
    doi: 10.1007/978-3-642-02538-9_9

 Moreover, as a personal note, I would appreciate it if you would
 email <manuel.lopez-ibanez@ulb.ac.be> with citations of papers
 referencing this work so I can mention them to my funding agent and
 tenure committee.

You can obtain a copy of the GNU General Public License at
http://www.gnu.org/licenses/gpl.html or writing to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.
