Correction of Reflection Lines Using Genetic Algorithms

机译：遗传算法校正反射线

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The method of smoothing surfaces by correcting reflection lines which is commonly used in the car design industry, relies heavily on the experience of designers and often involves very tedious work. This paper discusses how genetic algorithms can be used to alleviate this problem by providing alternative solutions under suitable constraints set by designers. Strategies for designing genetic codes, fitness functions, crossover and mutation methods, are investigated, with the aim to make the surface smoothing process more intuitive and yet leave designers with a greater choice.

机译：通过校正在汽车设计行业中常用的反射线来平滑表面的方法，严重依赖于设计人员的经验，并且往往涉及非常繁琐的工作。本文讨论了如何通过在设计人员设定的合适约束下提供替代解决方案来利用遗传算法如何通过提供替代解决方案来缓解该问题。设计了设计遗传码，健身功能，交叉和突变方法的策略，旨在使表面平滑过程更直观，但留下更大选择的设计师。

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《Asia-Pacific conference on simulated evolution and learning》|1999年||共8页
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Binh Pham; Zhongwei Zhang;
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中图分类人工智能理论;
关键词
surface smoothing; reflection line; genetic algorithm; aesthetic constraints;

机译：表面平滑;反射线;遗传算法;审美约束;

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Correction of Reflection Lines Using Genetic Algorithms

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