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遗传算法在织物起皱评价中的应用 被引量：1

Application of genetic algorithm with inversion operator in evaluation of fabric wrinkle grade
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摘要 文章对传统遗传算法进行了改进,提出了一种带有倒位算子的遗传算法。经检验表明,该遗传算法可以有效地提高收敛速度,达到全局最优。将遗传算法应用于织物起皱评价,可以为决策者提供优化方案。 The application of GA(genetic algorithm) in evaluation of fabric wrinkle grade can give optimal plans for deciders to choose. An genetic algorithm with inversion operator(IGA) is presented in this paper. The experiment results shows that the new GA can raise the convergence speed effectively and get the global optimal solution.
作者 寇强强 范世超
机构地区 青岛大学
出处 《毛纺科技》 CAS 北大核心 2004年第7期8-10,共3页 Wool Textile Journal
关键词 遗传算法 织物 起皱评价 倒位算子 目标函数 fabric wrinkle genetic algorithm object function inversion operator
分类号 TS101 [轻工技术与工程—纺织工程]
  • 相关文献

参考文献10

  • 1Xu B, Reed J A. Instrumental evaluation of fabric wrinkle recovery [J]. Journal of Textile Institute, 1995,86 ( 1 ): 129 - 135.
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  • 9杨晓波.遗传算法在织物起皱等级评定中的应用[J].上海纺织科技,2002,30(2):63-64. 被引量：4
  • 10杨晓波,黄秀宝.基于减法聚类的自适应模糊神经网络评定织物起皱等级[J].江南大学学报（自然科学版）,2003,2(2):167-171. 被引量：2

二级参考文献15

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毛纺科技
2004年 第7期

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