摘要
提出求解迭代函数系 ( IFS)逆问题的一类有效遗传算法 .该算法基于新发展的可拼接 /可分解编码 ,并结合使用胞腔排除技巧 .对于典型图像的应用表明 :该方法可有效应用于基于矩匹配表示的 IFS逆问题求解 ,从而为
The paper proposes a novel efficient genetic algorithm to solve the inverse problem of Iterated Function Systems(IFS).The proposed algorithm is based on a recently developed splicing/decomposable encoding,and combines the canonical GA and the cell exclusion techniques.The use of this algorithm for a typical image shows that it can be applied efficiently to solve the inverse problem of IFS represented by moment matching,which provides a new approach for the study of numerical methods of the inverse problem of IFS.
出处
《高校应用数学学报（A辑）》
CSCD
北大核心
2001年第4期391-400,共10页
Applied Mathematics A Journal of Chinese Universities(Ser.A)
基金
国家自然科学基金 (699750 1 6)
863基金(30 6ZT0 6- 0 6- 0 1 )
