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交互式遗传算法在分形艺术设计中的应用
引用本文:李杰,刘弘,刘广钰. 交互式遗传算法在分形艺术设计中的应用[J]. 计算机工程与应用, 2008, 44(35): 66-68. DOI: 10.3778/j.issn.1002-8331.2008.35.020
作者姓名:李杰  刘弘  刘广钰
作者单位:山东师范大学,信息科学与工程学院,济南,250014;山东师范大学,信息科学与工程学院,济南,250014;山东师范大学,信息科学与工程学院,济南,250014
摘    要:为提高分形艺术图案的设计效率,提出一种基于交互式遗传算法的分形图案生成方法。该方法采用二叉树结构表示分形图案的迭代函数,并对树型结构表示的迭代函数进行交叉、变异、选择等操作,产生新的后代。同时,又以用户共识满意度作为适应度函数,优化评价机制,达到减小主观评价误差的目的。为更快、更好地满足用户提出的个性化设计要求提供了帮助。从应用层次验证了该算法的可行性和实用性。

关 键 词:交互式遗传算法  分形艺术  用户满意度  个性化
收稿时间:2008-04-07
修稿时间:2008-7-23 

Application of interactive genetic algorithm in fractal artistic design
LI Jie,LIU Hong,LIU Guang-yu. Application of interactive genetic algorithm in fractal artistic design[J]. Computer Engineering and Applications, 2008, 44(35): 66-68. DOI: 10.3778/j.issn.1002-8331.2008.35.020
Authors:LI Jie  LIU Hong  LIU Guang-yu
Affiliation:College of Information Science and Engineering,Shandong Normal University,Jinan 250014,China
Abstract:To enhance the design efficiency of the fractal artistic pattern,a new method of fractal pattern generation based on Interactive Genetic Algorithm(IGA) is proposed.In the method,the binary tree structure is used as the expression of iterated functions of fractal pattern,and crossover,mutation and selection are operated on the iterated functions with tree structure for producing new offspring.Furthermore,the subjective evaluation errors are reduced greatly and the evaluation mechanism is optimized with the integration of the users’ communizing and satisfying fitness function.The method provided a better help to meet the demands of character-seekers design.The feasibility and practicality of Interactive Genetic Algorithm by application is also proved.
Keywords:Interactive Genetic Algorithm(IGA)  fractal art  user satisfaction  specific character
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