|本期目录/Table of Contents|

[1]汪岚.基于智能混合算法的织物自动配色方案优化设计[J].延边大学学报(自然科学版),2017,(02):150-153.
 WANG Lan.Scheme optimization design for fabric automatic color matching based on intelligent hybrid algorithm[J].Journal of Yanbian University,2017,(02):150-153.
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基于智能混合算法的织物自动配色方案优化设计()
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《延边大学学报(自然科学版)》[ISSN:1004-4353/CN:22-1191/N]

卷:
期数:
2017年02期
页码:
150-153
栏目:
基础科学研究
出版日期:
2017-07-20

文章信息/Info

Title:
Scheme optimization design for fabric automatic color matching based on intelligent hybrid algorithm
作者:
汪岚
黎明职业大学 机电工程与自动化学院, 福建 泉州 362000
Author(s):
WANG Lan
College of Mechanical and Electrical Engineering, Liming Vocational University, Quanzhou 362000, China
关键词:
自动配色 智能混合算法 适值相似度判别 模拟退火算法
Keywords:
automatic color matching intelligent hybrid algorithm fitness similarity discrimination simulated annealing algorithm
分类号:
TP301.6
DOI:
-
文献标志码:
A
摘要:
为了提高织物自动配色的通用性和精确性,建立了以成本最优为目标的自动配色数学模型.针对染色过程多约束条件的特点和传统遗传算法存在的缺陷,提出了一种基于智能混合算法求解自动配色方案的优化方法.首先利用正交实验设计法、自适应适值函数调整以及适值相似度判别策略等措施对遗传算法进行了改进,然后融入具有较强局部搜索能力的模拟退火算法进行进一步迭代优化,最终实现了自动配色方案的优化设计.分别运用传统遗传算法和智能混合算法对自动配色模型进行仿真和实测,结果表明:智能混合算法改善了全局寻优能力、收敛速度和稳定性,且在保证配
Abstract:
In order to improve the versatility and accuracy of the fabric automatic color matching, an automatic color matching model for optimizing cost was established. According to the characteristics of dye process with multi-constraint conditions and defects of basic genetic algorithm, a kind of method was put forward to solve the automatic color matching scheme base on intelligent hybrid algorithm. The genetic algorithm was improved which use the efficient operation such as taguchi design, self-adaptive function adjustment and fitness similarity discrimination strategy. Then the simulated annealing algorithm with strong local search ability was integrated into improved genetic algorithm, and the scheme optimization design for fabric automatic color matching was achieved. The simulations and experiments were carried out by using basic genetic algorithm and intelligent hybrid algorithm respectively. The results show that the intelligence hybrid algorithm can improve the capacity of global optimization, convergent speed and stability. The dye cost based on intelligence hybrid algorithm was less than basic genetic algorithm, it will has good engineering practical value.

参考文献/References:

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[2] 汪岚.基于混合遗传算法的染色优化模型与仿真[J].计算机工程,2009,35(22):218-220.
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[7] 林兰芬,欧冠男,陆俊虎.多约束条件下的自动配棉的混合遗传算法[J].浙江大学学报(工学版),2009,43(5):801-806.
[8] 飞思科技产品研发中心.Matlab 6.5辅助优化计算与设计[M].北京:电子工业出版社,2003:173-181.
[9] 汪岚.混合自适应遗传算法优化多目标染色配方模型[J].计算机与应用化学,2012,29(7):121-124.
[10] 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(3):261-266.

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.

备注/Memo

备注/Memo:
收稿日期: 2017-02-15 作者简介: 汪岚(1978—),女,副教授,研究方向为过程控制系统建模、优化及电子技术应用.
基金项目: 福建省教育厅科技项目(JA15829); 黎明职业大学校级委托课题(LWT20161024)
更新日期/Last Update: 2017-06-20