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Innovative Batik Design with an Interactive Evolutionary Art System

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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.

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Authors and Affiliations

  1. School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Yang Li & Chang-Jun Hu

  2. The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, U.K.

    Yang Li & Xin Yao (Fellow, IEEE,)

Authors
  1. Yang Li
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  2. Chang-Jun Hu
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  3. Xin Yao
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Corresponding author

Correspondence to Yang Li.

Additional information

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.

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Li, Y., Hu, CJ. & Yao, X. Innovative Batik Design with an Interactive Evolutionary Art System. J. Comput. Sci. Technol. 24, 1035–1047 (2009). https://doi.org/10.1007/s11390-009-9293-5

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  • DOI: https://doi.org/10.1007/s11390-009-9293-5

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