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\textbf{ParadisEO Practices}  {\copyright Franck Seynhaeve,
Jean-Charles Boisson, Thomas Legrand} \Large{\textbf{\\\\
Lesson 5: Implement a genetic algorithm using ParadisEO}}

\normalsize

 \vspace{-0,3cm}

\section{Example}

    The archive {\tt paradiseo\_practices\_0208.tgz} installed
    on your computer contains a genetic algorithm implemented using ParadisEO-EO~
    (see {\tt gen\_algo} in the {\bf build/lesson5} directory).

    \medskip
    To run it, please go in {\bf build/lesson5} and start the program {\tt gen\_algo} by giving
    one of the TSP instances located in {\bf tsp/benchs}.

    \medskip
    When entering {\tt ./gen\_algo ../../tsp/benchs/berlin52.tsp}, you should end up with the
    following outputs:

    \texttt{>> Loading [../../tsp/benchs/eil101.tsp]}\\
    \texttt{[From] -3176  101 5 72 27 77 20 82 23 14 91 17 60 50 43 99 18 34 69}\\
    \texttt{76 22 38 25 88 36 40 7 55 74 42 67 53 11 62 61 92 58 93 19 70 33 32}\\
    \texttt{86 48 47 4 97 73 95 79 85 66 65 24 13 89 8 26 96 56 28 39 80 37 49}\\
    \texttt{78 12 1 98 46 31 57 10 30 90 71 75 81 16 45 29 41 100 51 21 52 59 15}\\
    \texttt{64 44 94 54 9 6 3 0 87 63 2 84 83 35 68 STOP in eoGenContinue:}\\
    \texttt{Reached maximum number of generations [1000/1000]}\\
    \texttt{[To] -1564  101 60}\\
    \texttt{17 81 59 5 94 43 42 14 40 13 15 82 45 46 35 51 26 100 74 38 24 22 21}\\
    \texttt{54 23 66 86 99 44 87 64 34 57 25 32 75 80 29 79 67 53 3 1 58 95 97}\\
    \texttt{90 85 37 83 16 92 91 36 41 96 93 52 56 12 33 77 70 30 88 39 20 72 71}\\
    \texttt{ 31 62 89 61 49 2 8 18 6 10 9 0 68 78 28 27 76 11 73 55 50 65 19 69}\\
    \texttt{48 63 47 7 4 98 84}\\


    \medskip

    The printed-out results show for the initial best solution and the final one~:
    \\ \hspace*{0.5cm}-the length of the route
    \\ \hspace*{0.5cm}-the number of cities
    \\ \hspace*{0.5cm}-the route itself (notice that the city index starts from 0).


\section{Study the genetic algorithm dedicated components}

    Study the {\tt gen\_algo.cpp} file located in the {\bf lesson5} directory
    using~:
    \begin{itemize}
       \item[$\bullet$] the ParadisEO-EO API documentation available at~:

       \hspace{1cm}http$\,:$//eodev.sourceforge.net/eo/doc/html/index.html

       \item[$\bullet$] the source files located in the {\bf tsp/src/} directory
    \end{itemize}


\section{Customize the GA}

    Make a backup (copy) of the cpp file {\tt gen\_algo.cpp}. You can now modify the
    original {\tt gen\_algo.cpp} and use the existing makefiles to compile it.

    Edit and modify the {\tt gen\_algo.cpp} file~:
    \begin{itemize}
       \item[$\bullet$] Try to tune a few parameters of the GA
       (selection criteria, stopping criteria ...).
       \item[$\bullet$] Then, try to change the initialization of the population
       by applying one of the local searches on each individual.
    \end{itemize}

    \smallskip
    To compile {\tt gen\_algo.cpp},you should use the
    command {\tt make} from {\bf build/lesson5}.

    \medskip
    Finally, test your modifications on several TSP instances ({\tt berlin52},
    {\tt eil101} ...) and compare the results you get.

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