Adapting Evolutionary Computing for Exploration in Creative Designing

نویسندگان

  • JOHN GERO
  • VLADIMIR KAZAKOV
چکیده

This paper introduces a modification to genetic algorithms which provides computational support to creative designing by adaptively exploring design structure spaces. This modification is based on the re-interpretation of the GA's crossover as a random sampling of interpolations and its replacement with the random sampling of direct phenotype-phenotype interpolation and phenotypephenotype extrapolation. Examples of the process are presented

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تاریخ انتشار 1999