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Algorithms 2018,11, 66 At the second iteration, the block B2 is destroyed, and we construct the permutations π5(B23;∅) and π 6(B23; J7) from the permutation π 4(B11; J4, J5). We obtain the permutation π0→5(B23;∅) = (J4, J5, J1, J2, J3, J6)with the penalty φ5 = 4 13 30 ≈ 4.433333 and the permutation π0→6(B32; J7) = (J4, J5, J1, J2, J3, J7, J6)with the penalty φ6 = 5 1 3 ≈ 5.333333. Since all non-ïŹxed jobs are distributed in the permutation π0→6(B11; J3, J8), we obtain the complete permutation J4, J5, J1, J2, J3, J6, J8, J10, J9, J7)∈SwiththeïŹnalpenaltyφ∗6=6 712≈6.583333. Fromthepermutation π0→3(B11; J5), we obtain the permutationswith their penalties: π 0→7(B33;∅) = (J1, J5, J3, J2, J4, J6), φ7 = 52990 ≈ 5.322222 andπ0→8(B33; J7) = (J1, J5, J3, J2, J4, J7, J6), φ8 = 51. Weobtain the complete permutationπ=(J1, J5, J3, J2, J4, J7, J6, J9, J10, J8)withthepenaltyφ∗8=6.35. Weobtain the followingpermutationswith theirpenalties:π0→9(B42;∅)=(J4, J2, J3, J1, J5),φ9= 3 124≈3.041667andπ0→10(B42; J7)=(J4, J2, J1, J3, J7, J5),φ10=3.5 fromthepermutationπ0→2(B11; J4). We obtain the following permutationswith their penalties: π0→11(B52;∅) = (J1, J2, J3, J5,), φ11 = 3.175, π0→12(B52; J4) = (J1, J2, J3, J4, J5), φ12 = 3.3, π 0→13(B52; J7) = (J1, J2, J3, J7, J5), φ13 = 3 19 30 ≈ 3.633333, π0→14(B52; J4, J7) = (J1, J2, J3, J4, J7, J5), φ14 = 3 19 30 ≈ 3.633333 from the permutation π0→1(B11;∅). We obtain the complete permutation (J1, J2, J3, J4, J7, J5, J6, J9, J10, J8) ∈ S with the ïŹnal penalty φ∗14 = 5 53 60 ≈ 5.883333. We obtain the following permutationswith their penalties: π0→15(B63;∅) = (J4, J2, J3, J1, J5, J6), φ15 = 4 1 24 ≈ 4.041667, π0→16(B63; J7) = (J4, J2, J3, J1, J5, J7, J6), φ16 = 5 760 ≈ 5.116667 from the permutation π0→9(B42;∅). We obtain the complete permutation (J4, J2, J3, J1, J5, J7, J6, J9, J10, J8)∈SwiththeïŹnalpenaltyφ∗16=61130≈6.366667. Weobtain the followingpermutationswith theirpenalties: π0→17(B73;∅)= (J1, J2, J3, J5, J4, J6), φ17 = 51145 ≈ 5.244444, π0→18(B73; J7) = (J1, J2, J3, J5, J7, J4, J6), φ18 = 4.925 from the permutation π0→11(B52;∅).Weobtain thecompletepermutation (J1, J2, J3, J5, J7, J4, J6, J9, J10, J8)∈SwiththeïŹnal penaltyφ∗18=6.175. We obtain the followingpermutationswith their penalties: π0→19(B83;∅) = (J1, J2, J3, J4, J5, J6), φ19=4.3, π0→20(B83; J7) = (J1, J2, J3, J4, J5, J7, J6), φ20 = 5.7 from the permutation π 0→12(B52; J4). Weobtainthecompletepermutation (J1, J2, J3, J4, J5, J7, J6, J9, J10, J8)∈Swiththefinalpenaltyφ∗20=6.95. From the permutation π0→10(B42; J7), we obtain the permutation with its penalty as follows: π0→21(B93; J4) = (J4, J2, J1, J3, J7, J5, J4, J6), φ21 = 5.05. We obtain the complete permutation J4, J2, J1, J3, J7, J5, J4, J6, J9, J10, J8) ∈ S with the final penalty φ∗21 = 6.3. We obtain the following permutationwith theirpenalties: π0→22(B103 ; J4) = (J1, J2, J3, J7, J5, J4, J6),φ22 = 5 1 12 ≈ 5.083333 from thepermutationπ0→13(B52; J7).Weobtainthecompletepermutation (J1, J2, J3, J7, J5, J4, J6, J9, J10, J8)∈S with the final penaltyφ∗22 = 6 1 3 ≈ 6.333333. Weobtain the complete permutationπ0→23(B114 ; J4) = (J4, J2, J3, J1, J5, J6, J8, J10, J9, J7),φ23=5 17120≈5.141667fromthepermutationπ0→15(B63;∅).Weobtainthe completepermutationπ0→24(B124 ; J4)=(J1, J2, J3, J4, J5, J6, J8, J10, J9, J7),φ22=5.4fromthepermutation π0→19(B83;∅)). Weobtain the completepermutationπ 0→25(B124 ; J4) = (J4, J5, J1, J2, J3, J6, J8, J10, J9, J7), φ25=5 815≈5.533333fromthepermutationπ0→5(B23;∅)). UsingProcedure5,weobtain the followingpermutationwith the largest relativeperimeterof the optimalitybox:π0→23(B114 ; J4). Themaximal relativeperimeterPer(OB(πk,T))of theoptimalitybox isequal to2103120≈2.858333,wherePermax=22andtheminimalpenaltyobtainedfor thepermutation πk isequal to5 17120≈5.141667. Sinceallnon-ïŹxed jobsaredistributed in thepermutationπ0→23(B114 ; J4),weobtain thecomplete permutation (J4, J2, J3, J1, J5, J6, J8, J10, J9, J7)∈SwiththeïŹnalpenaltyφ∗23 equal to5 17120≈5.141667. 5.AnApproximateSolutionto theProblem1|pLi ≀ pi≀ pUi |∑Ci The relative perimeter of the optimality boxOB(πk,T) characterizes the probability for the permutationπk tobeoptimal for the instances1|p|∑Ci,where p∈T. It is clear that thisprobability maybeclosetozerofor theproblem1|pLi ≀ pi≀ pUi |∑Ciwithahighuncertaintyof the jobprocessing times (if thesetThasa largevolumeandperimeter). If theuncertaintyof the inputdata ishighfor theproblem1|pLi ≀ pi≀ pUi |∑Ci, onecanestimate howthevalueof∑ni=1Ci(πk,p)withavectorp∈Tmaybeclosetotheoptimalvalueof∑ni=1Ci(πt,p∗), 33
zurĂŒck zum  Buch Algorithms for Scheduling Problems"
Algorithms for Scheduling Problems
Titel
Algorithms for Scheduling Problems
Autoren
Frank Werner
Larysa Burtseva
Yuri Sotskov
Herausgeber
MDPI
Ort
Basel
Datum
2018
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-120-7
Abmessungen
17.0 x 24.4 cm
Seiten
212
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorien
Informatik
Technik
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Algorithms for Scheduling Problems