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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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China and the World |
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| 저자 | David Shambaugh 鸚� |
| 출판사 | Oxford University Press |
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How Innovation Works |
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| 저자 | Matt Ridley |
| 출판사 | Harper |
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Wellbeing at Work |
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| 저자 | Jim Clifton �쇅 |
| 출판사 | Gallup Press |
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�뵒吏��꽭 �쁺�떊�쓣 媛��냽�솕�븯�뒗 5�꽭��� �꽕�듃 |
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| 吏��궃 30�뀈 �룞�븞 �젙蹂댄넻�떊 �궛�뾽�뿉�꽌�뒗 �꽕�듃�썙�겕 湲곗닠�쓽 鍮꾩슜 ���鍮� �꽦�뒫�씠 湲됯꺽�엳 �뼢�긽�맖�뿉 �뵲�씪 洹� �뒫�젰怨� 寃쎌젣�쟻 �쁺�뼢�젰�룄 �룺諛쒖쟻�쑝濡� �꽦�옣�뻽�떎. �씠�젣 �꽭怨꾨뒗 4GGeneration濡쒕���꽣 5G 紐⑤컮�씪 湲곗닠濡� �룄�빟�븷 以�鍮꾨�� �븯怨� �엳�떎. 5G 湲곗닠��� 臾댁뾿�씠硫�, 洹멸쾬�씠 誘몃옒�뿉 媛��졇�삱 �깉濡쒖슫 湲고쉶�뿉�뒗 �뼱�뼡 寃껊뱾�씠 �엳�뒗媛�? |
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[247]권 
