首页> 外文会议>Genetic and Evolutionary Computation Conference(GECCO 2004) pt.2; 20040626-630; Seattle,WA(US) >Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
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Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation

机译:交互式进化计算的进化多目标优化设计MEMS

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摘要

We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of microma-chined resonators and evaluate its effectiveness using human evaluation of the final designs and a test for statistical significance of the improvements. The addition of IEC produces superior designs with fewer potential design or manufacturing problems than those produced through the evolutionary synthesis software alone as it takes advantage of the human ability to perceive design flaws that cannot currently be simulated. A user study has been performed to compare the effectiveness of the IEC enhanced software with the non-interactive software. The results show that the lEC-enhanced synthesis software creates a statistically significant greater number of designs rated best by users.
机译:我们将交互式进化计算(IEC)与现有的进化综合软件相结合,以设计微机械加工的谐振器,并通过对最终设计的人工评估和改进的统计意义的测试来评估其有效性。与仅通过进化综合软件所产生的设计或制造相比,添加IEC可以产生具有更少潜在设计或制造问题的出色设计,因为它利用了人类感知当前无法模拟的设计缺陷的能力。已经进行了一项用户研究,以比较IEC增强软件和非交互式软件的有效性。结果表明,增强了lEC的综合软件创建了具有统计学意义的,数量更多的,受到用户评价最高的设计。

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