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[227]±Ç


	ë‚´ ì˜í˜¼ì„ ë‹¤ë…ì´ëŠ” ê´€ê³„ ì‹¬ë¦¬í•™
	ÀúÀÚ \| ìš°ì¦ˆí™(ì—:ë°•ë‚˜ì˜)
	ÃâÆÇ»ç \| ë¦¬ë“œë¦¬ë“œì¶œíŒ

	Brotopia: Breaking U
	ÀúÀÚ \| Emily Chang
	ÃâÆÇ»ç \| Portfolio

	Going Infinite: The
	ÀúÀÚ \| Michael Lewis
	ÃâÆÇ»ç \| W. W. Norton & Company

	Effective HR Communi
	ÀúÀÚ \| Debra Corey
	ÃâÆÇ»ç \| Kogan Page

	Genetic Algorithms A
	A significant challenge in managing todayâ€™s 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.


	ë‚´ ì˜í˜¼ì„ ë‹¤ë…ì´ëŠ” ê´€ê³„ ì‹¬ë¦¬í•™
	ÀúÀÚ \| ìš°ì¦ˆí™(ì—:ë°•ë‚˜ì˜)
	ÃâÆÇ»ç \| ë¦¬ë“œë¦¬ë“œì¶œíŒ

	Brotopia: Breaking U
	ÀúÀÚ \| Emily Chang
	ÃâÆÇ»ç \| Portfolio

	Going Infinite: The
	ÀúÀÚ \| Michael Lewis
	ÃâÆÇ»ç \| W. W. Norton & Company

	Effective HR Communi
	ÀúÀÚ \| Debra Corey
	ÃâÆÇ»ç \| Kogan Page

	Genetic Algorithms A
	A significant challenge in managing todayâ€™s 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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