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臾댁뼱�쓽 踰뺤튃 �씠�썑�쓽 而댄벂�똿, �뼱�뵒濡� |
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| 吏��궃 60�뀈媛� �뵒吏��꽭 �쁺�떊�쓣 �씠�걟 媛��옣 �쐞����븳 �뿏吏� 以� �븯�굹�뒗 諛붾줈 臾댁뼱�쓽 踰뺤튃(Moore"s Law)�씠�뿀�떎. 1965�뀈, �씤�뀛 怨듬룞 李쎈┰�옄 怨좊뱺 臾댁뼱�뒗 ��쒖묩 �쐞�쓽 �듃�옖吏��뒪�꽣 �닔媛� 2�뀈留덈떎 �몢 諛곌�� �맂�떎��앸뒗 愿�李곗쓣 �궡�넃�븯怨�, �씠 媛꾨떒�븳 踰뺤튃��� �쟾 �꽭怨� 諛섎룄泥� �궛�뾽�쓽 �굹移⑤컲�씠 �릺�뿀�떎. �듃�옖吏��뒪�꽣 �닔�쓽 利앷���뒗 怨� �냽�룄 �뼢�긽, �쟾�젰 �슚�쑉 媛쒖꽑, �젣議� �떒媛� �븯�씫�쑝濡� �씠�뼱議뚯쑝硫�, 而댄벂�꽣�뒗 �뜑 �옉怨�, �뜑 鍮좊Ⅴ怨�, �뜑 ����졃�븯寃� 吏꾪솕�뻽�떎.<br> |
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China and the World |
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| 저자 | David Shambaugh 鸚� |
| 출판사 | Oxford University Press |
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Businesses Get a "Se |
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| Like animals, companies have always monitored changes in their environments. Historically, companies have moved slowly in response to changes. For example, if a retailer��셲 sales of red sweaters outpaced sales of green sweaters during the Christmas shopping season, the results would not be noticed until months later. By the time the retailer could react, the holiday season was over, and the insights might not be relevant to the following year. |
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Genetic Algorithms A |
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| A significant challenge in managing today��셲 enterprise is quickly and effectively choosing among a large number of complex options and alternatives with subtle trade-offs. Fortunately, new computer applications using genetic algorithms can do a much better job at making these choices than a person using traditional analytical techniques. |
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�씠�뒪�씪�뿕怨� 媛��옄 吏�援�, 以묐룞�쓽 �솕�빟怨� |
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| �씠�뒪�씪�뿕怨� �뙏�젅�뒪����씤 媛꾩쓽 媛덈벑��� �떒�닚�븳 �쁺�넗 遺꾩웳�쓣 �꽆�뼱�꽌, 誘쇱”, 醫낃탳, �떇誘쇱＜�쓽, 援��젣�젙移섍�� �뼺�엺 蹂듭옟�븳 �뿭�궗�쟻 留λ씫�쓣 諛곌꼍�쑝濡� �븳�떎. |
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[324]권 
