Design of Cultural Product Evolution System Based on Interactive Genetic Algorithm

Defu Bao · Jingzhuo Zhang · Sanyuan Zhang

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Cultural and Communication Design Research Digital Media and Visual Art Evolutionary Algorithms and Applications

Abstract

It becomes important to adapt to the culture for product design. The paper took advantage of the optimization ability of genetic algorithm and conducts crossover , mutation and selection operations on existing cultural product components, so as to generate cultural product models that satisfy the user preferences. By applying this system, not only the efficiency of morphological evolution can be improved, but operational errors caused by user fatigue can also be reduced.

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