Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/26767
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dc.contributor.authorV in a P r a mu dya Hap s a ri-
dc.date.accessioned2014-01-28T23:41:59Z-
dc.date.available2014-01-28T23:41:59Z-
dc.date.issued2014-01-28-
dc.identifier.nimNIM071810101101-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/26767-
dc.description.abstractP a d a u m u m n ya pe r ma salah a n pe n gir im a n b a ra n g b erhubun g a n d e n g a n p e n ga t u ra n l e t ak b a r an g . Dalam h al i n i seseor a n g di h ad a p ka n p a d a pers o a la n o p tima si u nt u k pe mili h a n bend a ya n g d a p at d im a su k ka n k e d a lam s ebu a h k on t ai n er ya n g me mili ki ket erb a tas a n r u an g ata u d a y a t am p ung . A g ar p en g i ri man b a ra n g d a lam s e b u a h ko n tai n e r d a p a t opt i mal ma ka pe r lu d ilak ukan op t i mas i d al a m m en g a tu r l et a k b a ra n g t e r s e bu t . O p timas i y a n g d ilak u k a n d i h ar ap k a n d ap at m e n g h as ilk a n k e u n t unga n y an g m a ksimal d a n v o l u me b ar an g y an g terang k ut d a lam se t ia p k on t ai n er ju g a mak s im a l. Da lam penel itia n i ni, b ar an g y an g a k a n dikirim berup a b a ra n g p e c a h b el a h , seh i n gga b ar an g tid ak d ap a t d i bol a k b a lik . S a lah s a t u m etode pend e kata n untuk m e n ye le s a ika n masal a h op t im a s i k e u n t unga n p e n g i rima n b a ra n g ad a la h d en ga n me n gg una ka n alg o r it ma g e ne t ika . Al go r it ma in i me lakuka n pe n dek a ta n sec a ra ef ekt if u n t u k m eme c a h ka n mas a la h o p tima si k a re n a a d a b a n ya k pe l u a n g so l u si y a n g a kan m e n ja d i s o l u s i t erb aik . S el ai n it u , algori tm a genet ika j u ga m en gg una ka n i n f o rmas i f u n gsi fit ness s e b a gai c ar a untuk me n geval u a si i n d ivid u y an g me m p unya i s o l us i te rbaik. Tu j u a n y an g i n gi n d i c a p a i d alam p e nu l i sa n skri psi i n i ad ala h m enc a ri sol u s i ya n g te rba i k den ga n mema n f aatkan alg o ri tm a ge n et i k a s e b a g a i me t ode p e n dek a ta n so l u s i n y a . M e t od e p e nd ekata n d i h a ra p k a n d a p a t mengh a si l k a n ke u n t ung a n d a n v o l u m e b ar an g t e r an gk ut d alam ko n tai ne r ya n g o p tim u m. Tu j u a n b eriku t n y a y a itu me m bua t pr o g r am u n t u k pen y e l e saia n ma s a la h te r se b u t. La n g ka h lan gk a h y an g d i lakuka n u n t u k m en y e l e saik a n masal a h op t im a s i k e u n t unga n pe n gir im a n b a ra n g me n gg una ka n al g o r it ma g e ne t ika dim u lai d e n g a n me n gk od e ka n perma s a la h a n t ers e b u t k e d a la m be ntu k kro m o s o m. Ur u t an k ode d a lam k r o mos o m m erep r es en tasika n u r u t a n b a ra n g be r d a s a r k a n a t u ra n penem p a ta n a tau p os i s i b ar an g d alam kon tai ner. Se l anjutnya ad alah m emb en t u k po p u la s i a wal sec ar a ac ak d a n men g h i t un g n ilai o b j e ktif s erta n i la i f it ne s s da r i set ia p kr o m o s o m, kem u d ia n me n y e l eks i k r o m o s o m d ar i po p u las i ya n g a ka n m en ja d i i nd u k b agi genera s i s el a n j u t n y a m e n g g un a ka n m e t o de rou l e t t e-w h ee l. Kr o m o s o m y a n g t erp il i h d a ri p r o s e s se le ksi aka n m en ja d i i ndu k untuk m e l e wa ti p ro ses g enet ika y aitu c ro s sove r d a n m u tas i se h i n g ga te r b e n t u k g e n erasi b a ru d alam p op u l as i d e n g a n u kuran popu las i te tap k onst a n . Dar i p e n e liti a n y an g d il a k u ka n d a p at di li h a t b a h w a f itn ess t e r b a ik d a ri b e be r ap a p e n g u jia n a d a lah se be sar 0 , 82 2 45 2 8 . Ur u ta n p e n em p a tan bara n g t e r b aik y a it u : 62 , 2 7 , 3 2 , 6 3 , 69 , 4 0 , 43 , 3 8 , 74 , 3 4 , 36 , 2 5 , 45 , 4 2 , 47 , 6 0 , 5 1 , 17 , 7 3 , 54 , 5 5 , 44 , 2 9 , 53 , 4 6 , 7 1 , 6 1 , 7 0 , 6 4 , 2 0 , 19 , 35 , 57 , 49 , 68, 11, 41, 50, 2 , 21 , 52 , 22 , 59 , 8 , 3 3 , 7 5 , 7 2 , 3 0 , 3 9 , 65 , 15, 3 1 , 58 , 16, 6 6 , 24 , 37, 7 , 6 , 48, 1 2 , 26 , 1 , 4 . Sehi n gga d i p ero l e h k e u n t u n ga n ma ks i ma l se b esa r Rp 11 . 9 25.300 , 00 d a n v o l u m e b ar an g t e r an gk u t ma ks i ma l sebesar 19,3817870 m 3 . S o l u si ya n g d i h asi l k a n t i d ak d i jami n s el a l u sa ma d e n g a n opt imum gl ob a l. Kar e n a a l gor it ma genetika m erup a ka n a lg o ritma p r o b a b ili s t ik y an g p r os e sn y a d i m u l ai d e n ga n m embang kitk a n so l us i a wa l se c a ra ac a k d a n d i la n j u t k a n de n ga n p ro ses c r o ssov er d a n m u t as i y an g d i d a lam n y a t e r dap at p a ra me t er ac a k . S e lai n itu , p ermas a lah a n opt i masi k e un t u n ga n pe n gir im a n bar an g me ru p aka n ma sala h d e n g a n rua n g so l usi a mat l u a s , maka s o l us i ya n g dihasilka n ti d a k h ar u s op t im a l g l o b a l, tetap i k u alita s n y a men dek a ti op t imu m glob a l d a n b i s a di t e r im a .en_US
dc.language.isootheren_US
dc.relation.ispartofseries071810101101;-
dc.subjectP ENERAP AN ALG ORI TM A GENETIK Aen_US
dc.titleP ENERAP AN ALG ORI TM A GENETIK A P ADA OP T I MASI K EUNTUNGAN P ENGI R I MAN B ARA NG P ECAH B ELAH DALAM SEB UAH K ONTAI NERen_US
dc.typeOtheren_US
Appears in Collections:UT-Faculty of Mathematics and Natural Sciences

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