Innovative batik design with an interactive evolutionary art system

Yang LI, Chang-Jun HU, Xin YAO

Research output: Journal PublicationsJournal Article (refereed)peer-review

17 Citations (Scopus)

Abstract

This paper describes an evolutionary art system, which explores the potential ability of evolutionary computation in Batik design. We investigate the use of Interactive Evolutionary Algorithm (IEA) in our system, with the goal of enhancing user's creativity to generate innovative Batik-like patterns. We focus mainly on two crucial aspects of the system. First, a new representation is proposed to capture the features in Batik and create innovative patterns through evolutionary processes. Second, an out-breeding mechanism is applied to our system, in order to sustain user's interest for a longer period. Our system can search a much larger design space than other systems and can avoid being trapped in a local optimum. We describe the system in detail and the methodology we have adopted in the system. Our experimental results have shown that our newly developed system is effective and has great potentials in evolving novel Batik design. © 2009 Springer.
Original languageEnglish
Pages (from-to)1035-1047
Number of pages13
JournalJournal of Computer Science and Technology
Volume24
Issue number6
DOIs
Publication statusPublished - Nov 2009
Externally publishedYes

Bibliographical note

Regular Paper The first author was supported by the China Scholarship Council for sponsoring her work at the University of Birmingham, UK. This work was done while the first author was visiting the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) at the University of Birmingham, UK.

Keywords

  • Batik design
  • Evolutionary art system
  • Interactive evolutionary computation

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