Fireworks: Evolutionary art project based on EvoSpace-Interactive

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Trujillo:2013:CEC,
  article_id =   "1616",
  author =       "Leonardo Trujillo and Mario Garcia-Valdez and 
                 Francisco Fernandez-de-Vega and Juan-J. Merelo",
  title =        "Fireworks: Evolutionary art project based on
                 EvoSpace-Interactive",
  booktitle =    "2013 IEEE Conference on Evolutionary Computation",
  volume =       "1",
  year =         "2013",
  month =        jun # " 20-23",
  editor =       "Luis Gerardo {de la Fraga}",
  pages =        "2871--2878",
  address =      "Cancun, Mexico",
  keywords =     "genetic algorithms, Genetic programming, Animation,
                 Evolutionary Distributed algorithms, cloud computing,
                 interactive evolutionary algorithm, linear genetic
                 programming",
  isbn13 =       "978-1-4799-0453-2",
  DOI =          "doi:10.1109/CEC.2013.6557918",
  size =         "8 pages",
  abstract =     "This paper presents a collaborative-interactive
                 evolutionary algorithm (C-IEA) that evolves artistic
                 animations and is executed on the web. The application
                 is called Fireworks, since the animations that are
                 produced are similar to an elaborate fireworks display.
                 The system is built using the EvoSpace platform for
                 distributed and asynchronous evolutionary algorithms.
                 EvoSpace provides a central repository for the evolving
                 population and remote clients, called EvoWorkers, that
                 interact with the system to perform fitness evaluation
                 using an interactive approach. The artistic animations
                 are coded using the Processing programming language
                 that facilitates rapid development of computer graphics
                 applications for artists and graphic designers. The
                 system promotes user collaboration and interaction by
                 allowing many users to participate in population
                 evaluation and because the system incorporates social
                 networking. Initial results show that the proposed
                 C-IEA can allow users to produce interesting artistic
                 artifacts that incorporate preferences from several
                 users, evolving dynamic animations that are unique
                 within evolutionary art.",
  notes =        "CEC 2013 - A joint meeting of the IEEE, the EPS and
                 the IET.",
}

Genetic Programming entries for Leonardo Trujillo Mario Garcia-Valdez Francisco Fernandez de Vega Juan Julian Merelo

Citations