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Q & A ... °Ô½ÃÆÇ  (Optimization)


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    ÀúÈñ KSTECÀÇ Á¦Ç°À̳ª ¼­ºñ½º¿¡ ´ëÇØ ±Ã±ÝÇϽŠÁ¡À̳ª ±â¼úÁö¿øÀ» ¿øÇϽô °í°´´ÔÀº ȸ»ç¸í,
    ºÎ¼­¸í, ¼º¸í, »ç¿ëÁ¦Ç°¸í, Á¦Ç° VERSIONÀ» ¸í½ÃÇÏ¿© Áֽñ⠹ٶø´Ï´Ù.

¡Ø °Ô½ÃÇϽг»¿ë¿¡ ´ëÇØ¼­´Â ½Å¼ÓÇÏ°Ô ´äº¯ÇØ µå¸®°Ú½À´Ï´Ù.
¡Ø ÇØ´çµÇ´Â Á¦Ç°±ºÀ» ¼±ÅÃÇϽŠÈÄ ÇÏ°í ½ÍÀ¸½Å ¸»¾¸À» Àû¾î ÁֽʽÿÀ.

Á¦ ¸ñ
[RE][RE][RE][RE][RE]Á¦¾à½ÄÀÌ ºñ¼±ÇüÀ϶§ Cplex Áö¿ø¿©ºÎ
ÀÛ¼ºÀÚ
Àӽºó
ÀÛ¼ºÀÏ
2007-08-16
Á¶È¸¼ö 1087 È¸
÷ºÎÆÄÀÏ Ã·ºÎµÈ ÆÄÀϾøÀ½.
Minimize 1/2xTQx + cTx

subject to Ax ~ b

and aiTx + xTQix <= ri for i=1,...,q

with these bounds l <= x <= u

À§ ½ÄÀ» Quadratically Constrained Program ÀÇ general form À̶ó ÇÏ¿´À» °æ¿ì, Q: quadaratic matrix °¡ positive semi-definite ÀÌ¿©¾ß ÇÕ´Ï´Ù(max ¹®Á¦ÀÏ °æ¿ì negative semi definite). À§ ±Ô¾àÀÌ ÁöÄÑÁöÁö ¾Ê¾Æ¼­ ¹ß»ýÇÏ´Â ¿¡·¯Àä, quadratic Á¦¾àÀ» ´Ü¼øÈ÷ Àû¿ëÇϱ⿡´Â ¾à°£ ¹®Á¦°¡ ÀÖ´Â µí ÇÕ´Ï´Ù.
¹®Á¦°¡ µÇ´Â Á¦¾àÀ» LP ÇüÅ¿¡ ¸ÂÃç ¹Ù²Ù¾î º¸½Ã´Â °Ç ¾î¶°½Å°¡¿ä?
¿¹¸¦ µé¸é,

[M01010101*Y01010101] + [M02010101*Y02010101] - Q010101 == 0 Á¦¾àÀÌ ÀǹÌÇÏ´Â ³»¿ë°ú,

M01010101 - BIG-M*Y01010101 <= 0
M01010101 - q001 = 0
M02010101 - BIG-M*Y02010101 <= 0
M02010101 - q002 = 0
Q010101 - q001 - q002 = 0
where,
BIG-M: Å« »ó¼ö
q001, q002 >= 0

°¡ ÀǹÌÇÏ´Â ³»¿ëÀÌ °°À» °Í °°½À´Ï´Ù.

°¨»çÇÕ´Ï´Ù.


°ü·Ã±Û º¸±â
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