All the Truth About NEvAr

author = "Penousal Machado and Amilcar Cardoso",

title = "All the Truth About {NEvAr}",

journal = "Applied Intelligence",

year = "2002",

volume = "16",

number = "2",

pages = "101--118",

keywords = "genetic algorithms, genetic programming, evolutionary art, computational creativity",

ISSN = "0924-669X",

language = "English",

URL = "

http://dx.doi.org/10.1023/A%3A1013662402341",

publisher = "Kluwer Academic Publishers",

annote = "The Pennsylvania State University CiteSeerX Archives",

bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",

language = "en",

oai = "oai:CiteSeerX.psu:10.1.1.304.9427",

rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",

URL = "

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.9427",

broken = "http://eden.dei.uc.pt/~machado/research/pdf/2002/ijai2002.pdf",

DOI = "

doi:10.1023/A:1013662402341",

abstract = "The use of Evolutionary Computation approaches to generate images has reached a great popularity. This led to the emergence of a new art form -- Evolutionary Art -- and to the proliferation of Evolutionary Art Tools. In this paper, we present an Evolutionary Art Tool, NEvAr, the experimental results achieved, and the work methodology used to generate images. In NEvAr, useful individuals are stored in a database in order to allow their reuse. This database is playing an increasingly important role in the creation of new images, which led us to the development of automatic seeding procedures, also described. The automation of fitness assignment is one of our present research interests. We will, therefore, describe some preliminary results achieved with our current approach to automatic evaluation.",