Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Flower Clustering Method Based on K-medoids Algorithm and Genetic Algorithm
  2.1. Feature Extraction and Evaluation of Flowers
  2.2. Flower Clustering Method of Genetic Algorithm Based on K-medoids Algorithm Optimization
 3. Study on Floral Art Design Based on Genetic Algorithm Optimized byK-medoidsAlgorithm
  3.1. Coding
  3.2. Generation of the Initial Population
  3.3. Determination of Fitness Function
  3.4. Implementation of the Selection Operator
  3.5. Implementation of the Crossover Operator
  3.6. Implementation of Mutation Operator
  3.7.Algorithm Process inThis Paper
 4. Case Analysis
 5. Conclusions
 References

키워드

저자

• Junwei Qi [ Art college of Xinxiang University, Xinxiang, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605