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Algorithms 2018,11, 66 optimalitybox(Section3),wepropose the followingAlgorithm3forconstructing the jobpermutation Ļ€k∈S for theproblem1|pLi ≤ pi≤ pUi |āˆ‘Ci,whoseoptimalityboxOB(Ļ€k,T)provides theminimal valueof theerror functionF(Ļ€k,T)amongallpermutationsS. Algorithm3 Input: Segments [pLi ,p U i ] for the jobs Ji∈J . Output: ThepermutationĻ€k∈SandoptimalityboxOB(Ļ€k,T),whichprovide theminimalvalueof theerror functionF(Ļ€k,T). Step1: IF theconditionofTheorem3holds THENOB(Ļ€k,T)=āˆ… foranypermutationĻ€k∈S andtheequalityF(Ļ€k,T)= n(n+1) 2 holdsSTOP. Step2: IF theconditionofTheorem4holds THENusingProcedure2+F(Ļ€k,T)construct thepermutationĻ€k∈S suchthatbothequalities PerOB(Ļ€k,T)=nandF(Ļ€k,T)=0holdSTOP. Step3:ELSEdetermine thesetBofallblocksusingthe O(n logn)-Procedure1described in theproofofLemma1 Step4: IndextheblocksB={B1.B2, . . . ,Bm}accordingto increasing leftboundsof theircores (Lemma3) Step5: IFJ =B1THENproblem1|pLi ≤ pi≤ pUi |āˆ‘Ci is calledproblemP1 (Theorem5)set i=0GOTOstep8ELSEset i=1 Step6: IF thereexist twoadjacentblocksBrāˆ— ∈BandBrāˆ—+1∈B such thatBrāˆ— ∩Brāˆ—+1=āˆ…; let rdenote theminimumof theabove index rāˆ— in theset{1,2, . . . ,m}THENdecompose theproblemP into subproblemP1with thesetof jobsJ1=∪rk=1Bk andsubproblemP2 with thesetof jobsJ2=∪mk=r+1BkusingLemma4; setP=P1,J =J1,B={B1,B2, . . . ,Br}GOTOstep7ELSE Step7: IFB ={B1}THENGOTOstep9ELSE Step8:Construct thepermutationĻ€s(i)withtheminimalvalueof theerror functionF(Ļ€k,T)usingProcedure3+F(Ļ€k,t) IF i=0orJ2=BmGOTOstep12ELSE Step9: IF thereexistsablock in thesetBcontainingmore thanone non-fixed jobsTHENconstruct thepermutationĻ€s(i)with theminimalvalueof theerror functionF(Ļ€k,T) for theproblemP1 usingProcedure5+F(Ļ€k,t)GOTOstep11 Step10:ELSEconstruct thepermutationĻ€s(i)withtheminimalvalueof the error functionF(Ļ€k,T) for theproblemP1 usingProcedure3+F(Ļ€k,t) Step11:Construct theoptimalityboxOB(Ļ€s(i),T) for thepermutationĻ€s(i) usingAlgorithm1 IFJ2 =Bm and i≄1THEN set i := i+1,P=P2,J =J2,B={Br+1,Br+2, . . . ,Bm} GOTOstep6ELSEIFJ2=BmTHENGOTOstep8 Step12: IF i>0THENsetv= i,determine thepermutation Ļ€k=(Ļ€ s(1),Ļ€s(2), . . . ,Ļ€s(v))andtheoptimalitybox: OB(Ļ€k,T)=Ɨi∈{1,2,...,v}OB(Ļ€s(i),T)GOTOstep13 ELSEOB(Ļ€k,T)=OB(Ļ€s(0),T) Step13:TheoptimalityboxOB(Ļ€k,T)has theminimalvalue of theerror functionF(Ļ€k,T)STOP. InSection6,wedescribe theresultsof thecomputationalexperimentsonapplyingAlgorithm3 to therandomlygeneratedproblems1|pLi ≤ pi≤ pUi |āˆ‘Ci . 6.ComputationalResults For thebenchmark instances1|pLi ≤ pi≤ pUi |āˆ‘Ci,where therearenopropertiesof therandomly generated jobsJ , whichmake theproblemharder, themid-point permutationĻ€midāˆ’p = Ļ€e ∈ S, whereall jobs Ji∈J areorderedaccordingtothe increasingof themid-points p U i +p L i 2 of theirsegments [pLi ,p U i ], isoftenclose to theoptimalpermutation. Inourcomputationalexperiments,wetestedseven 35
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Algorithms for Scheduling Problems
Title
Algorithms for Scheduling Problems
Authors
Frank Werner
Larysa Burtseva
Yuri Sotskov
Editor
MDPI
Location
Basel
Date
2018
Language
English
License
CC BY 4.0
ISBN
978-3-03897-120-7
Size
17.0 x 24.4 cm
Pages
212
Keywords
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Categories
Informatik
Technik
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