Experiences with teaching adaptive optimization to engineering graduate students

Alice E. Smith
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引用次数: 3

Abstract

The paper discusses the first-hand experiences of the author in developing and teaching a graduate level engineering course in adaptive optimization methods inspired by nature. The paper discusses course content, textbooks and supplementary written material, software and computer projects, and grading and evaluation. This course has encouraged many students to pursue research in evolutionary computation, tabu search or simulated annealing, however it is continually being modified to reflect the many changes occurring in the field.
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对工科研究生进行适应性优化教学的经验
本文论述了作者在研究生水平工程课程的开发和教学中,从自然中获得灵感的自适应优化方法的第一手经验。本文讨论了课程内容、教材和补充文字材料、软件和计算机项目以及评分和评价。这门课程鼓励了许多学生在进化计算、禁忌搜索或模拟退火方面进行研究,然而它不断被修改以反映该领域发生的许多变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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