论文信息 - Study on Traditional Flower Design Based on Genetic Algorithm Optimized by K-medoids Algorithm

Study on Traditional Flower Design Based on Genetic Algorithm Optimized by K-medoids Algorithm

With the continuous improvement of the economic level, people pay more and more attention to the appreciation of art. Art of flower arranging is an art following certain laws of creation and it has a long history. At present, the flower shape depends mainly on the arrangements’ experience and personal preferences. This paper attempts to use genetic algorithm optimized by the K-medoids algorithm for its research, through the replacement of the genetic algorithm to get more design solutions, so as to broaden the designer's ideas, to achieve the innovation of art design. Experiments show that the beauty of floral works produced by the optimized genetic algorithm is better than that produced by traditional genetic algorithm.

Junwei Qi

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