Mahammed, NadirBekka, AbdelghaniKazi Tani, YassineBennabi, SouadFahci, MahmoudKlouche, BadiaGuelli, Zouaoui2022-04-112022-04-112022-01-24Nadir, Mahammed. Bekka, Abdelghani. Kazi Tani, Yassine.Bennabi, Souad.Fahci, Mahmoud.Klouche, Badia.Zouaoui, Guellil. A Modified NSGA-II with Silhouette Coefficient and K-means Clustering. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]https://dspace.univ-eloued.dz/handle/123456789/10760Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of ElouedThis article is a proposition for enhancing the genetic algorithm NSGA-II by some form of hybridization. The later explores the K-means clustering algorithm and the Silhouette coefficient features. It implies two specific phases. First, the right number of clusters generated automatically by K-means clustering is verified by Silhouette coefficient according to a number of iterations. Thereafter, NSGA-II is executed, in turn, for a defined number of iterations within the proposed algorithm. Obtained results of the algorithm for some benchmark test functions are used to illustrate the validity of the article proposition.enevolutionary algorithm · NSGA-II · hybridization · K-means clustering · silhouette coefficientOther