n the late 1980s, engineers at General Electric used an algorithm to design a new engine for the Boeing 777. It broke new ground for aircraft turbine efficiency. In 1990, a Santa Fe, NM-based investment firm called The Prediction Company introduced a new strategy, the long-term success of which attracted the attention of some of the largest finance houses. The company was bought by Union Bank of Switzerland in 2005. In 2008, two researchers developed a more efficient way of finding defectsrnin silicon microchips, saving tens of millions of dollars annually, and inserting more control into the process. These three breakthroughs, and many others besides, share a common foundation: The application of biology to complex engineering problems.rnWhen I started working on the mathematical description of evolution called genetic algorithms, over 40 years ago, I hardly imagined the range of problems that genetic algorithms could solve.
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机译:在1980年代后期,通用电气的工程师使用一种算法为波音777设计了一种新发动机。它为提高飞机涡轮效率开辟了新天地。 1990年,位于新墨西哥州圣达菲的投资公司The Prediction Company提出了一项新策略,其长期成功吸引了一些大型金融机构的关注。该公司于2005年被瑞士联合银行(Union Bank of Switzerland)收购。2008年,两名研究人员开发了一种更有效的方法来发现硅微芯片中的缺陷,每年节省数千万美元,并在过程中添加更多控制权。这三个突破以及其他许多突破都有一个共同的基础:生物学在复杂工程问题中的应用。40年前,当我开始研究称为遗传算法的进化的数学描述时,我几乎没有想到过遗传算法可以解决。
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