PDF下载

[1]罗艳霞,杨云,车艳.基于遗传算法的陶瓷配方优化设计[J].延边大学学报(自然科学版),2019,45(02):166-170.
　LUO Yanxia,YANG Yun,CHE Yan.Design of ceramic formula based on genetic algorithms[J].Journal of Yanbian University,2019,45(02):166-170.

点击复制

基于遗传算法的陶瓷配方优化设计

《延边大学学报(自然科学版)》[ISSN:1004-4353/CN:22-1191/N] 卷: 第45卷期数: 2019年02期页码: 166-170 栏目: 应用科学研究出版日期: 2019-08-12

Title:: Design of ceramic formula based on genetic algorithms

文章编号:: 1004-4353(2019)02-0166-05

作者:: 罗艳霞¹; 杨云²; 车艳¹; ( 1.莆田学院信息工程学院, 福建莆田 351100; 2.陕西科技大学电气与信息工程学院, 陕西西安 710021 )

Author(s):: LUO Yanxia¹; YANG Yun²; CHE Yan¹; ( 1.Department of Information Engineering, Putian University, Putian 351100, China; 2.College of Electrical and Information Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China )

关键词:: 陶瓷配方; 遗传算法; 优化设计

Keywords:: ceramic formula; genetic algorithm; optimal design

分类号:: TP3-05

文献标志码:: A

摘要:: 为优化陶瓷配方,以绝对误差为目标函数建立了陶瓷配方优化模型,并采用标准遗传算法进行了配方设计.针对标准遗传算法中出现的早熟、运行效率低等问题,从种群设定、编码方式、操作算子等方面对算法进行了改进.经100次的配方实验表明,改进遗传算法配方精度的绝对误差仅约为0.1,显著优于标准遗传算法.

Abstract:: In order to optimize ceramic formulation, an optimization model of ceramic formulation was established with absolute error as objective function, and standard genetic algorithm was used to design the formulation. Aiming at the problems of prematurity and low efficiency in the standard genetic algorithm, the algorithm from the aspects of population setting, encoding mode and operator were improred. The formula experiments of 100 times show that the absolute error of the formula accuracy of the improved genetic algorithm is only about 0.1, which is significantly better than that of the standard genetic algorithm.

参考文献/References:

[1] 杨云,张瑛,王秀峰.最优化技术在陶瓷配方优化设计中的应用[J].中国陶瓷,2008,44(8):34-36.
[2] 程杰.陶瓷坯料配方优化系统的设计与实现[D].西安:陕西科技大学,2011.
[3] 张瑛.陶瓷配方优化算法的设计与实现[D].西安:陕西科技大学,2009.
[4] 陆强.陶瓷坯釉料配方设计及其优化方法研究[J].中国陶瓷工业,2007,14(1):23-26.
[5] 刘雄恩,陈聪,骆兰,等.基于遗传算法的苏云金芽孢杆菌培养基配方优化[J].应用与环境生物学报,2008,14(5):705-709.
[6] 杨海霞,谢轶鹏.一种改进的遗传算法及其在结构优化设计中的应用[J].河海大学学报(自然科学版),2007,35(6):659-663.
[7] 王海峰,张健.遗传算法及其在渔饲料配方中的应用[J].上海水产大学学报,2004,12(6):2-3.

相似文献/References:

[1]汪岚.基于智能混合算法的车辆配送路径优化[J].延边大学学报(自然科学版),2015,41(03):261.
　WANG Lan.Research on optimizing vehicle routing based on intelligent hybrid algorithm[J].Journal of Yanbian University,2015,41(02):261.
[2]程永强,汪岚.基于改进MMAS算法的堆垛机货物拣选路径优化[J].延边大学学报(自然科学版),2017,43(03):255.
　CHENG Yongqiang,WANG Lan.The optimization of order picking route of stackerbased on improved MMAS algorithm[J].Journal of Yanbian University,2017,43(02):255.
[3]安迪,廉哲满*.基于MATLAB遗传算法的离合器摩擦片优化设计[J].延边大学学报(自然科学版),2018,44(03):279.
　AN Di,LIAN Zheman*.The optimization design of clutch friction disks onMATLAB genetic algorithm[J].Journal of Yanbian University,2018,44(02):279.
[4]汪岚,吴永春,陈海洋.带软时间窗的公共自行车调度路径问题[J].延边大学学报(自然科学版),2019,45(01):64.
　WANG Lan,WU Yongchun,CHEN Haiyang.Scheduling routing problem with soft time windows for public bicycle[J].Journal of Yanbian University,2019,45(02):64.
[5]俞颖,黄风华,刘永芬.基于特征降维及参数优化的语音情感识别[J].延边大学学报(自然科学版),2020,46(01):49.
　YU Ying,HUANG Fenghua,LIU Yongfen.Speech emotion recognition based on feature dimension reduction and parameter optimization[J].Journal of Yanbian University,2020,46(02):49.

备注/Memo

收稿日期: 2019-03-12 作者简介: 罗艳霞(1982—),女,讲师,研究方向为材料计算机应用.
*基金项目: 福建省教育厅中青年科技类项目(JAT170525); 莆田市科技计划科研创新专项(2018ZP10); 莆田学院教育教学改革项目(JG201764)

更新日期/Last Update: 2019-08-12