摘要
该方法根据组成个体各基因意义单元值出现的频率,计算基因意义单元的权值,并基于此得到个体的相似度;根据个体与上代最优个体的相似度,选择需要由用户进行评价的个体;基于当代所有已评价个体的信息,估计未评价个体的适应值.将所提方法应用于窗帘进化设计系统,并与已有典型方法比较.结果表明,所提方法在减轻用户疲劳和提高搜索性能等方面均具有优越性.
In this algorithm, the weight of each gene meaning unit is calculated based on the emergence frequency of the corresponding allele. By comparing the weights, we determine the similarity of two individuals. Individuals in the current generation are selected for evaluation by the user according to the similarities between them and the most preferred one in the former generation. The fitness of unevaluated individuals is estimated based on the information of all evaluated individuals in the current generation. The proposed algorithm is applied to a curtain evolutionary design system, and compared with existing typical methods. The experimental results validate that the proposed algorithm has advantages in reducing user＇s fatigue and improving the efficiency in exploration.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2013年第5期558-566,共9页
Control Theory & Applications
基金
国家自然科学基金资助项目(61105063)
江苏省自然科学基金资助项目(BK2010186)
关键词
遗传算法
交互
适应值
估计
相似度
genetic algorithms
interaction
fitness
estimation
similarity
