首页> 外文会议>Asia-Pacific Conference on Simulated Evolution and Learning(SEAL'2002); 20021118-22; Singapore(SG) >CONSTRAINED OPTIMIZATION OF MULTILAYERED ANTI-REFLECTION COATINGS USING GENETIC ALGORITHMS
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CONSTRAINED OPTIMIZATION OF MULTILAYERED ANTI-REFLECTION COATINGS USING GENETIC ALGORITHMS

机译:遗传算法对多层抗反射涂层的约束优化

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Optimization based on genetic algorithms is applied to the design of mul-tilayered coatings, incorporating both coating-geometry and material-property optimization. The latter is based on parametric modeling of dielectric and magnetic properties of homogeneous materials, and effective-medium modeling of composites. Our approach treats physical laws to be obeyed by the models as constraints. Moreover, efficiency in thickness is considered in two ways: as an upper-limit constraint, and in multi-objective settings including aggregation and Pareto optimality.
机译:基于遗传算法的优化应用于多层涂层的设计,同时兼顾了涂层的几何形状和材料性能的优化。后者基于均质材料的介电和磁性能的参数化建模以及复合材料的有效介质建模。我们的方法将模型要遵守的物理定律视为约束。此外,可以通过两种方式来考虑厚度效率:作为上限约束,以及在包括聚合和帕累托最优性在内的多目标设置中。

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