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Cell["Optimisation", "Title"],

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Cell["\<\
\[CapitalEAcute]tapes de la d\[EAcute]marche d'optimisation par \
algorithme g\[EAcute]n\[EAcute]tique\
\>", "Subsubsection"],

Cell["\<\
1. Commencer avec une population d'individus (chromosomes) g\
\[EAcute]n\[EAcute]r\[EAcute]s al\[EAcute]atoirement.
2. D\[EAcute]terminer l'adaptation de chaque individu dans la population
3. S\[EAcute]lectionner l'individu le mieux adapt\[EAcute]
4. Utiliser cet individu pour produire la nouvelle g\[EAcute]n\[EAcute]ration
5. Faire \[EAcute]voluer la population en r\[EAcute]p\[EAcute]tant les \
\[EAcute]tapes 2 \[AGrave] 4.\
\>", "Text"],

Cell["Liste des composantes de la fonction \[AGrave] minimiser :", \
"Subsubsection"],

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Cell["Contraintes impos\[EAcute]es sur les composantes de la fonction :", \
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Cell["1. Composer un \[LeftGuillemet]chromosome\[RightGuillemet]", \
"Subsubsection"],

Cell[TextData[{
  "Les valeurs ",
  Cell[BoxData[
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            FontSlant->"Italic"], "i"], TextForm]]],
  " prises par chaque composante peuvent \[EHat]tre \
consid\[EAcute]r\[EAcute]es comme les  \[LeftGuillemet]all\[EGrave]les\
\[RightGuillemet] ou valeurs des \[LeftGuillemet]g\[EGrave]nes\
\[RightGuillemet] d'un \[LeftGuillemet]chromosome\[RightGuillemet]. Tirons au \
hasard ces valeurs dans les domaines de d\[EAcute]finition des composantes de \
la  fonction :"
}], "Text"],

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Cell["2. D\[EAcute]terminer l'\[LeftGuillemet]adaptation\[RightGuillemet] du \
\[LeftGuillemet]chromosome\[RightGuillemet] ", "Subsubsection"],

Cell["\<\
Calculons l'\[EAcute]cart entre la somme des composante et le \
\[LeftGuillemet]but\[RightGuillemet] :\
\>", "Text"],

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Cell[BoxData[
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Cell[TextData[{
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  Cell[BoxData[
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  " obtenues :"
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Cell["\<\
Le \[LeftGuillemet]chromosome\[RightGuillemet] le mieux adapt\
\[EAcute] sera celui qui minimise une certaine \[LeftGuillemet]distance\
\[RightGuillemet].. Nous utilisons ici l'\[EAcute]cart comme distance pour \
mesurer l'\[LeftGuillemet]adaptation\[RightGuillemet].\
\>", "Text"],

Cell["\<\
 3. S\[EAcute]lectionner, parmi une population, un \
\[LeftGuillemet]chromosome\[RightGuillemet] bien adapt\[EAcute]\
\>", \
"Subsubsection"],

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  "G\[EAcute]n\[EAcute]rons une population de ",
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  " \[LeftGuillemet]chromosomes\[RightGuillemet] et trions-la par ordre d\
\[EAcute]croissant des distances :"
}], "Text"],

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Cell["", "Text"],

Cell["\<\
S\[EAcute]lectionnons maintenant un \[LeftGuillemet]chromosome\
\[RightGuillemet] parmi les mieux adapt\[EAcute]s (jusqu'\[AGrave] une \
profondeur \[LeftGuillemet]prof\[RightGuillemet]) :\
\>", "Text"],

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Cell[BoxData[{
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Cell["4. G\[EAcute]n\[EAcute]rer une population \[AGrave] partir d'un \
\[LeftGuillemet]chromosome\[RightGuillemet]", "Subsubsection"],

Cell[TextData[{
  "Pour g\[EAcute]n\[EAcute]rer une nouvelle population \[AGrave] partir du \
chromosome retenu, nous utiliserons la fonction \[LeftGuillemet]boole\
\[RightGuillemet] qui donne \[LeftGuillemet]vrai\[RightGuillemet] lorsque la \
probabilit\[EAcute] ",
  StyleBox["p",
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  " de muter est sup\[EAcute]rieure ou \[EAcute]gale \[AGrave] un nombre tir\
\[EAcute] au hasard :"
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  "La fonction \[LeftGuillemet]muter\[RightGuillemet] nous permettra ainsi de \
modifier, avec une probabilit\[EAcute] ",
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  StyleBox[", la valeur d'un g\[EGrave]ne ",
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celles du chromosome retenu :",
    FontVariations->{"CompatibilityType"->0}]
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Cell["\<\
Rassemblons les instructions permettant d'obtenir:
\[Bullet] le liste des valeurs initiales
\[Bullet] l'\[EAcute]cart au but (pour les valeurs initiales)
\[Bullet] la valeur de la fonction (pour les valeurs initiales)
\[Bullet] la nouvelle g\[EAcute]n\[EAcute]ration
\[Bullet] les valeurs de l'individu le mieux adapt\[EAcute] de cette g\
\[EAcute]n\[EAcute]ration\
\>", "Text"],

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Cell[" 5. Faire \[EAcute]voluer la population", "Subsubsection"],

Cell["\<\
Pour faire \[EAcute]voluer la population, nous retenons les valeurs \
de l'individu le mieux adapt\[EAcute] et nous recommen\[CCedilla]ons le cycle \
(\[EAcute]tapes 2 \[AGrave] 4) :\
\>", "Text"]
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}, Open  ]]
}, Open  ]]
}
]
*)



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