By Albert TenEyck Gardner
Every piece of yank sculpture within the Museums assortment is mentioned intimately, and there's a concise biography of every of the sculptors. The greater than 350 works symbolize all significant American sculptors and colleges from the early 19th century to the current day, making this a beneficial survey in a box the place little released info is accessible. a number of the biographies comprise attribute or diverting excerpts from heretofore unpublished letters written to the Museum by way of the sculptors themselves, describing their lives and paintings.
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Additional resources for American Sculpture: A Catalogue of the Collection of The Metropolitan Museum of Art by Albert TenEyck Gardner (2012-10-09)
0. HTM 63. Wolfer, J. (2005). A neuro-genetic hybrid motif generator for genetic art. In: Computer Graphics and Imaging, 31–36 64. M. (2005). Salience-adaptive painterly rendering using genetic search. Intl. Journal on Artiﬁcial Intelligence Tools (IJAIT), 14(4) 65. P. (2006). Supervised genetic search for parameter selection in painterly rendering. : Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC. Vol. 3907 of LNCS.
While automated ﬁtness systems can tolerate large numbers of poor ﬁtness oﬀspring, the low population sizes of interactive system require design spaces with higher average ﬁtness. , function sets, value ranges) is in many ways as equally challenging as developing techniques for searching for potential solutions. While much work focuses on innovative ways to assist in ﬁnding regions of high ﬁtness, making the high-ﬁtness regions large enough that they are easily discovered is also a frequent topic.
Makris, D. (1999). Genetic programming and spatial morphogenesis. In: Proceedings of the AISB Symposium on Creative Evolutionary Systems (CES). The Society for the Study of Artiﬁcial Intelligence and Simulation of Behavior (AISB) 156. P. (1993). The generation of human-like reaching motion for an arm in an obstacle-ﬁlled 3-D static environment. PhD thesis. Ohio State University 157. , Kobayashi, S. (1999). Integration of multi-objective and interactive genetic algorihtms and its application to animation design.