[1]刘冲,朱晓东,郭雅默.基于烟花算法与差分进化算法的模糊分类系统设计[J].郑州大学学报(工学版),2015,36(06):47.[doi:10.3969/j.issn.1671-6833.2015.06.009]
　ZHU Xiaodong,LIU Chong,GUO Yamo.Design of Fuzzy Classification System Based on Fireworks Optimization and Differential Evolution Algorithm[J].Journal of Zhengzhou University (Engineering Science),2015,36(06):47.[doi:10.3969/j.issn.1671-6833.2015.06.009]
点击复制

基于烟花算法与差分进化算法的模糊分类系统设计()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年06期
页码:
47
栏目:
出版日期:
2015-12-25

文章信息/Info

Title:
Design of Fuzzy Classification System Based on Fireworks Optimization and Differential Evolution Algorithm
作者:
刘冲; 朱晓东; 郭雅默
郑州大学电气工程学院,河南郑州450001
Author(s):
ZHU Xiaodong; LIU Chong; GUO Yamo
School of Electrical Engineering，Zhengzhou University，Zhengzhou 450001 , China
关键词:
差分进化; 烟花算法; 模糊系统; 解释性; 系统辨识
Keywords:
differential evolution; fireworks algorithm; fuzzy system; interpretability; system identification
分类号:
TP273
DOI:
10.3969/j.issn.1671-6833.2015.06.009
文献标志码:
A
摘要:
针对模糊分类问题,提出了一种基于烟花算法和差分进化算法的模糊系统建模方法,这是首次将烟花算法应用到模糊建模领域,目的是建立精确度高而且解释性好的模糊分类器.烟花算法是通过模拟烟花爆炸现象而提出的一种新的粒子智能算法,首先采用此方法对模型的结构和参数进行学习,结果表明该方法具有较好的收敛速度和搜索性能;其次,为了扩大搜索范围,避免过早地陷入局部最优,在每一次迭代中采用差分算法进一步优化模型;最后，对Iris数据样本进行仿真实验,在保证较高分类精度的前提下,构建了一个解释性良好的模糊分类系统.
Abstract:
A novel approach to construct accurate and interpretable fuzzy classification system based on fire-works optimization algorithm(FOA) combined with differential evolution operators is proposed.It is the firsttime to apply FOA in fuzzy modeling.The fireworks optimization algorithm is a novel swarm intelligent algo-rithm based on simulating the explosion process of fireworks,which can optimize the construction and parame-ters of fuzzy system with good convergence speed and optimization accuracy.To improve the diversity of theswarm and avoid being trapped in local optima too early ,the differential evolution is performed to further opti-mize the model at each iteration.The proposed approach is applied to the lris benchmark classification prob-lem,and the results prove its validity.

相似文献/References:

[1]张春江,高亮,吴擎,等.基于分解的多目标进化算法在工程优化中的应用[J].郑州大学学报(工学版),2015,36(06):38.[doi:10.3969/j.issn.1671-6833.2015.06.008]
　ZHANG Chunjiang,TAN Kay Chen,GAO Liang,et al.Multi-Objective Evolutionary Algorithm Based on Decomposition for Engineering Optimization[J].Journal of Zhengzhou University (Engineering Science),2015,36(06):38.[doi:10.3969/j.issn.1671-6833.2015.06.008]

更新日期/Last Update: