DocumentCode :
618167
Title :
Fireworks: Evolutionary art project based on EvoSpace-interactive
Author :
Trujillo, Leonardo ; Garcia-Valdez, M. ; Fernandez-de-Vega, Francisco ; Merelo, Juan Julian
Author_Institution :
Div. de Estudios de Posgrado, Inst. Tecnol. de Tijuana, Tijuana, Mexico
fYear :
2013
fDate :
20-23 June 2013
Firstpage :
2871
Lastpage :
2878
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.
Keywords :
art; computer animation; evolutionary computation; social networking (online); user interfaces; C-IEA; EvoSpace-Interactive platform; EvoWorkers; Fireworks application; Processing programming language; artistic animation; collaborative-interactive evolutionary algorithm; computer graphics application; dynamic animation; evolutionary algorithm; evolutionary art project; social networking; user collaboration; user interaction; Animation; Collaboration; Evolutionary computation; Servers; Silicon; Sociology; Statistics; Distributed algorithms; cloud computing; interactive evolutionary algorithm; linear genetic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
Type :
conf
DOI :
10.1109/CEC.2013.6557918
Filename :
6557918
Link To Document :
بازگشت