il peut ne pas être maximal par rapport à ¡^ensemble G' (ou à i'ensemble_G) comme le montre ¡'exemple suivant : -hypothèses: seule la méthode rri| est requise, g,~((m¡j\ mi. m ¡® m 2),(m¡,\ m¡, eonsistante(m; . tn 4 ), consistante^;, m 4 ) et on veutjyouterja méthode m 4 aux gaep de g r ,
(f"i/A m^A m 4 ._m ¡® m 2 ® m 4 I, 0i) L, 'examen du deuxième couple au pas 7 résulte en G"=((m¡ au pas 9 : gaep'=(m¡^ m 4 . m ¡ © m 4 ). On voit bien que le couple calculé est recouvert par le couple dans G ,
=Z c erp(zp) Inflm(c), n z (c)) + I ceI y Í2pV ,
< X c 6 rp't.zp') ¡ n ß m ( c )-n zp ,
et (6) on aboutit à : Card(z) ¿ \l(T pKJp -(z}) Ceci pour tout z c V " u V ? ,
L'exemple de la figure 72 montre le déroulement de la procédure d'ajout d'une contrainte. Initialement , on suppose l'existence d'un graphe solution montré par la figure 72.a. Lorsque la contrainte Cg est ajoutée à la hiérarchie, la procédure d'ajout décrite avant procède comme suit, La cellule pj est créée contenant la contrainte c 8 (figure 72.b) et l'étiquette de la contrainte victime est déterminée ,
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nous proposons une procédure utilisant le résolveur précédent Cette dernière est plus prometteuse qu'un algorithme du type séparation et évaluation, Elle peut être incorporée dans les langages de Programmation Logique par Hiérarchie de Contraintes afin de réaliser la comparaison inter-hiérarchies et donc de pouvoir éliminer les hiérarchies telles que leurs résolutions produiraient des solutions non désirables ,
nous avons modélisé un résolveur pour la résolution de hiérarchies de contraintes où Ses modes de combinaison peuvent varier selon les niveaux. Ce dernier prend en compte des contraintes possédant des méthodes recalculant plusieurs variables à la fois et établit un plan de coopération entre des résolveurs spécifiques ,