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To solve optimization problems, just add lasers: An ODD device known as an optical ising machine could untangle tricky logistics

机译:要解决优化问题,只需添加激光器:一种称为光学发钞机的ODD设备可以解开棘手的物流

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摘要

Last December, a glitch in the crew-scheduling system for American Airlines threatened to disrupt thousands of flights over the holiday season. The error allowed pilots to drop flights without requiring another pilot to cover for them, imperiling as many as 15,000 trips. And while the airline managed to spot the problem and staff the flights, the snafu was a reminder of how much we depend on computers to schedule the vast array of services and functions on which our societies have become completely dependent. All major airlines, for example, use sophisticated scheduling-optimization algorithms to assign crews to planes. And while the American Airlines incident was not caused directly by the failure of one of these algorithms, the end result was much the same. Such a failure would make it likely that hundreds of thousands of people would be stranded or seriously inconvenienced while the airline sought a solution.
机译:去年12月,美国航空机组调度系统出现故障,有可能在假期期间中断数千次航班。该错误使飞行员可以放弃飞行而无需其他飞行员掩护,最多可飞行15,000次。尽管航空公司设法发现问题并为航班配备了人员,但“突击步枪”提醒我们我们需要多少计算机来安排我们的社会完全依赖的各种服务和功能。例如,所有主要的航空公司都使用复杂的调度优化算法来分配机组人员到飞机上。尽管美国航空事件不是由其中一种算法的失败直接引起的,但最终结果却大体相同。这样的失败将使航空公司寻求解决方案时成千上万的人被困或严重不便。

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