* New tree configuration of the project:

.../
   ...           + -- EO
   |             |
   |             |
   +-- src ----- + -- EDO
   |             |
   |             |
   +-- test      + -- MO
   |             |
   |             |
   +-- tutorial  + -- MOEO
   |             |
   |             |
   +-- doc       + -- SMP
   |             |
   |             |
   ...           + -- EOMPI
                 |
                 |
                 + -- EOSERIAL

Question for current maintainers: ./README: new release?

Also:

* Moving out eompi & eoserial modules (issue #2).

* Correction of the errors when executing "make doc" command.

* Adding a solution for the conflicting headers problem (see the two CMake Cache
 Values: PROJECT_TAG & PROJECT_HRS_INSTALL_SUBPATH) (issue #1)

* Header inclusions:
        ** src: changing absolute paths into relative paths ('#include <...>' -> '#include "..."')
        ** test, tutorial: changing relative paths into absolute paths ('#include "..."' -> '#include <...>')

* Moving out some scripts from EDO -> to the root

* Add a new script for compilation and installation (see build_gcc_linux_install)

* Compilation with uBLAS library or EDO module: now ok

* Minor modifications on README & INSTALL files

* Comment eompi failed tests with no end

*** TODO: CPack (debian (DEB) & RedHat (RPM) packages) (issues #6 & #7) ***

test/edo/t-binomialmulti.cpp

@@ -0,0 +1,95 @@
+/*
+The Evolving Distribution Objects framework (EDO) is a template-based,
+ANSI-C++ evolutionary computation library which helps you to write your
+own estimation of distribution algorithms.
+
+This library is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation; either
+version 2.1 of the License, or (at your option) any later version.
+
+This library 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
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with this library; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
+
+Copyright (C) 2013 Thales group
+*/
+/*
+Authors:
+    Johann Dréo <johann.dreo@thalesgroup.com>
+*/
+
+#include <vector>
+#include <iostream>
+#include <string>
+#include <cmath>
+
+#include <paradiseo/eo.h>
+#include <paradiseo/edo.h>
+#include <paradiseo/eo/ga.h> // for Bools
+
+
+#ifdef WITH_EIGEN
+#include <Eigen/Dense>
+#endif // WITH_EIGEN
+
+#ifdef WITH_EIGEN
+// NOTE: a typedef on eoVector does not work, because of readFrom on a vector AtomType
+// typedef eoVector<eoMinimizingFitness, std::vector<bool> > Bools;
+class Bools : public std::vector<std::vector<bool> >, public EO<double>
+{
+    public:
+        typedef std::vector<bool> AtomType;
+};
+#endif
+
+int main(int ac, char** av)
+{
+
+    #ifdef WITH_EIGEN
+        eoParser parser(ac, av);
+
+        std::string        section("Algorithm parameters");
+        unsigned int popsize = parser.createParam((unsigned int)100000, "popSize", "Population Size", 'P', section).value(); // P
+        unsigned int rows = parser.createParam((unsigned int)2, "lines", "Lines number", 'l', section).value(); // l
+        unsigned int cols = parser.createParam((unsigned int)3, "columns", "Columns number", 'c', section).value(); // c
+        double proba = parser.createParam((double)0.5, "proba", "Probability to estimate", 'b', section).value(); // b
+
+        if( parser.userNeedsHelp() ) {
+                parser.printHelp(std::cout);
+                exit(1);
+        }
+
+        make_help(parser);
+
+        std::cout << "Init distrib" << std::endl;
+        Eigen::MatrixXd initd = Eigen::MatrixXd::Constant(rows,cols,proba);
+        edoBinomialMulti<Bools> distrib( initd );
+        std::cout << distrib << std::endl;
+
+        edoEstimatorBinomialMulti<Bools> estimate;
+        edoSamplerBinomialMulti<Bools> sample;
+
+        std::cout << "Sample a pop from the init distrib" << std::endl;
+        eoPop<Bools> pop; pop.reserve(popsize);
+        for( unsigned int i=0; i < popsize; ++i ) {
+            pop.push_back( sample( distrib ) );
+        }
+
+        std::cout << "Estimate a distribution from the sampled pop" << std::endl;
+        distrib = estimate( pop );
+        std::cout << distrib << std::endl;
+
+        std::cout << "Estimated initial proba = " << distrib.mean() << std::endl;
+    #else
+        #ifdef WITH_BOOST
+        #pragma message "WARNING: there is no Boost::uBLAS implementation of t-binomialmulti, build WITH_EIGEN if you need it."
+        #endif
+    #endif // WITH_EIGEN
+    return 0;
+}