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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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Genetics Meets Innov |
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| In the field of genetics, scientists develop stronger species of corn and other crops through a process known as ��쐓eed, select, and amplify.��� First, they use a diverse range of seeds to grow several different varieties of the crop under various conditions, such as drought, frost, heavy rainfall, and so on. Then they select the seeds from the sturdiest and most productive strains of each generation of crops and cross-breed those with the desired trait for use in the next generation of test crops. Ultimately, over many generations, the scientists develop super-crops that produce more food, resist all types of weather and pests, and require less soil and water. |
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[GT] �뙆�궓�뒯蹂묎낵 媛꾩쭏, �떊寃쎌“�젅 |
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| ����쟾�젰 移� �꽕怨�, 癒몄떊 �윭�떇 �븣怨좊━利� 諛� �냼�봽�듃 �씠�떇�삎 �쟾洹뱀쓣 寃고빀�븯�뿬 �뙆�궓�뒯蹂� 諛� 媛꾩쭏�쓽 利앹긽�쓣 媛먯���븯怨� �셿�솕�븷 �닔 �엳�뒗 �룓�뇙 猷⑦봽 �떊寃� 議곗젅 �떆�뒪�뀥 �삩 移⑹씤 ��섎돱�듃�윺�듃由�(NeuralTree)��숇�� �깮�궛�븷 �닔 �엳寃� �릺�뿀�떎. |
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Z�꽭�������쓽 怨듭〈怨� 踰덉쁺 |
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| �솚寃쎌쟻 �긽�솴�씠 �꽌濡� �떎瑜닿린 �븣臾몄뿉 紐⑤뱺 �꽭����뒗 �뻾�룞�뿉 洹쇰낯�쟻 �쁺�뼢�쓣 誘몄튂�뒗 怨좎쑀�븳 吏묐떒 �떖由ъ쟻 �듅�꽦�쓣 吏��땲怨� �엳�떎. 諛��젅�땲�뼹 �꽭������ 二쇰㉧(Zoomers), 利� Z�꽭����룄 留덉갔媛�吏��떎. �븯吏�留� �씠 �깉濡쒖슫 �꽭����뒗 湲곗꽦�꽭���媛� 援ъ꽦�븳 援ъ“ �궡�뿉�꽌 �뿬�윭 �뼱�젮����쓣 寃り퀬 �엳�떎. 媛덈벑�룄 �긽議댄븯怨� �엳�떎. �씠 臾몄젣�뒗 �뼱�뵒�뿉 �쁺�뼢�쓣 誘몄튂寃� �맆源�? �꽭���媛꾩쓽 怨듭〈怨� 踰덉쁺�쓣 �쐞�빐 �븘�슂�븳 寃껋�� 臾댁뾿�씪源�? |
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Super Pumped: The Ba |
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| 저자 | Mike Isaac |
| 출판사 | W. W. Norton & Company |
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[479]권 
