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Search research

机译:搜索研究

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摘要

How does one best search for non-replenishable targets at unknown positions? An optimized search strategy could be applied to situations as diverse as animal foraging and time-sensitive rescue missions. Operations research - the field that uses mathematical methods to optimize complex real-world structures and processes - grew out of the analysis of military problems during the Second World War. One such question was the optimization problem 'How to hunt a submarine'1, the analysis of which had to take several factors into account. For instance, a figure-of-eight search pattern of an aircraft scouring littoral waters would be different from the pattern for a search of deep-ocean waters. The problem was also complicated by the fact that a negative search might mean only that a submarine was submerged, not that it was absent.
机译:如何最好地搜索未知位置的不可补给目标?优化的搜索策略可以应用于各种情况,例如动物觅食和对时间敏感的救援任务。运筹学源于第二次世界大战期间对军事问题的分析,运筹学是使用数学方法来优化复杂的现实世界的结构和过程的领域。其中一个问题是优化问题“如何寻找潜艇” 1,其分析必须考虑多个因素。例如,一架搜寻沿海水域的飞机的八字形搜索模式将不同于搜索深海水域的模式。负搜索可能仅意味着潜艇被淹没,而不是没有潜艇,这一事实也使问题变得更加复杂。

著录项

  • 来源
    《Nature》 |2006年第7109期|p.281-282|共2页
  • 作者

    Michael F. Shlesinger;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

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