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Algorithms 2018,11, 66 Algorithm2 Step9: IF thereexistsablock in thesetBcontainingmore thanone non-fixed jobsTHENconstruct thepermutationĻ€s(i)withthe largest relativeperimeterPerOB(Ļ€s(i),T) for theproblemP1 usingProcedure5described inSection4.1GOTOstep11 Step10:ELSEconstruct thepermutationĻ€s(i)withthe largest relative perimeterPerOB(Ļ€s(i),T) for theproblemP1 using O(n logn)-Procedure4described in theproofofTheorem6 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 the largestvalueof PerOB(Ļ€k,T)STOP. 4.1. Procedure5 for theProblem1|pLi ≤ pi≤ pUi |āˆ‘Ci withBlocks IncludingMoreThanOneNon-Fixed Jobs ForsolvingtheproblemP1 at step9of theAlgorithm2,weuseProcedure5basedondynamic programming. Procedure5allowsus to construct thepermutationĻ€k ∈ S for theproblem1|pLi ≤ pi≤ pUi |āˆ‘Ciwith the largestvalueofPerOB(Ļ€k,T),where thesetBconsistsofmore thanoneblock, m≄2, theconditionofLemma4doesnotholdfor the jobsJ ={J1, J2, . . . , Jn}=:J(B0m),whereB0m denotes the followingsetofblocks: {B1,B2, . . . ,Bm}=:B0m. Moreover, theconditionofTheorem6 doeshold for the setB=B0m of theblocks, i.e., there is ablockBr ∈B0m containingmore thanone non-fixed jobs. For theproblem1|pLi ≤ pi ≤ pUi |āˆ‘Ci withJ = {J1, J2, . . . , Jn}=J(B0m), one can calculate the followingtightupperboundPermaxonthe lengthof therelativeperimeterPerOB(Ļ€k,T) of theoptimalityboxOB(Ļ€k,T): Permax=2 Ā· |B\B|+ |B|≄PerOB(Ļ€k,T), (5) whereBdenotes thesetofallblocksBr∈Bwhicharesingletons, |Br|=1. Theupperbound(5)onthe relativeperimeterPerOB(Ļ€k,T)holds, since therelativeoptimalitysegment uāˆ—kiāˆ’l āˆ— ki pUki āˆ’pLki forany job Ji∈J isnotgreater thanone. Thus, thesumof therelativeoptimalitysegments forall jobs Ji∈J cannotbe greater than2m. InsteadofdescribingProcedure5 ina formalway,wenextdescribe thefirst two iterationsof Procedure5alongwith theapplicationofProcedure5 toasmallexamplewith fourblocksandthree non-fixed jobs (seeSection4.2). LetT =(V,E)denote thesolution treeconstructedbyProcedure5at the last iteration,whereV isasetof thevertexespresentingstatesof thesolutionprocessandE isaset of theedgespresentingtransformationsof thestates toanotherones.Asubgraphof thesolutiontree T =(V,E)constructedat the iterationh isdenotedbyTh=(Vh,Eh). Allvertexes i∈Vof thesolution treehavetheirranksfromtheset{0,1, . . . ,m= |B|}. Thevertex0inthesolutiontreeTh=(Vh,Eh)has azerorank. Thevertex0 ischaracterizedbyapartial jobpermutationĻ€0(āˆ…;āˆ…),where thenon-fixed jobsarenotdistributedto theirblocks. Allvertexesof thesolution treeThhavingthefirst rankaregeneratedat iteration1 fromvertex0 viadistributing thenon-fixed jobsJ [B1]of theblockB1,whereJ [B1]āŠ†B1. Each job Jv∈J [B1]must bedistributedeither to theblockB1 or toanotherblockBj∈Bwiththe inclusion Jv∈J [Bj]. LetBtk denoteasetofallnon-fixed jobs Ji∈Bk,whicharenotdistributedto theirblocksat the iterationswith thenumbers less than t. Apartialpermutationof the jobs is characterizedbythenotationĻ€u(Bk;J[u]), whereudenotes thevertexu∈Vt in theconstructedsolutiontreeTt=(Vt,Et)andJ[u]denotes the 31
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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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