Fireworks: Evolutionary art project based on EvoSpace-Interactive

Published in Conferences Papers
  1. L Vézard, M Chavent, P Legrand, F Faïta-Aïnseba and L Trujillo. Detecting mental states of alertness with genetic algorithm variable selection. In 2013 IEEE Congress on Evolutionary Computation (). June 2013, 1247-1254. DOI BibTeX

    	author = "L. Vézard and M. Chavent and P. Legrand and F. Faïta-Aïnseba and L. Trujillo",
    	booktitle = "2013 IEEE Congress on Evolutionary Computation",
    	title = "Detecting mental states of alertness with genetic algorithm variable selection",
    	year = 2013,
    	volume = "",
    	number = "",
    	pages = "1247-1254",
    	keywords = "electroencephalography;genetic algorithms;medical signal detection;CSP;EEG;LDA;common spatial pattern;decision rule;electrode optimal subset selection;electroencephalographic signals;genetic algorithm variable selection;linear discriminant analysis;mental states alertness detection;vigilance mental states;Bioinformatics;Data acquisition;Electrodes;Electroencephalography;Genetic algorithms;Genomics;Hidden Markov models",
    	doi = "10.1109/CEC.2013.6557708",
    	issn = "1089-778X",
    	month = "June"

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.

Published in
IEEE Congress on Evolutionary Computation (CEC)
Pages 2871-2878
Date of conference
20-23 June 2013