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Algorithms 2018,11, 43 Theoptimalityof theCPLEXsolutionwasprovenfor the6000 instancesofGroup1. Theanalysis ofquality theheuristics’ results inrelation to thoseoptimalsolutions,using95%confidence intervals of theaverageRPDs, isdepicted inFigure3. Figure3. Comparisonsofperformancesofheuristics in relation to thoseofmodel (95%confidence intervalsofaverageRPD). It is remarkable that thevaluesofgraphs inFigure2a (Group1)andFigure3areverysimilar. Table10presents rankingsof thesolutionqualityof theheuristics, i.e., thevaluesof theRPDof the optimalsolutions. Table10.Overallperformancerankings (averageRPD)ofheuristics inrelation tooptimalsolutionfor instances inGroup1. H6 H5 H2 H1 H4 H3 H9 H8 H10 H7 RPD 0.6 0.8 1.4 1.6 4.0 7.4 10.0 16.6 21.4 41.9 Table10showsthesamerankingandvaluesveryclosetotheonespresentedinTable4forrelative comparisonsofGroup1,whichvalidatedandreinforcedtheresults fromthepreviousanalyses. It is important tohighlight theexcellentperformanceof thebestheuristic (H6) thathadadeviationfrom theoptimalsolutionof just0.6%whichmeant that itprovidedanear-optimalsolution. Of the6000 instancesoptimallysolved,H6reachedtheoptimalsolution in5830cases (97.2%of instances)and, in theother170 instances, thedifferencebetweenits resultandtheoptimalsolution wasonlyone just-in-timejobin168casesandtwojust-in-timejobs intwoothercases. It isalsorelevant toemphasize that theaveragerunningtimesofH6were0.1msand0.39s for the instances inGroups1 and2, respectively. Accordingto thepreviouscomparativeanalysis, theresults forH5andH6wereverycloseand H2andH1alsoachievedsignificantperformances. Thisconfirmedthat theEDDwasbetter thanthe MSTrule for the instancesconsideredandtheprocedurebasedonHodgson’sapproach(usedinH6 andH5)outperformedthe insertionmethodofNEH(applied inH2andH1). Similarly, inall casesof eachpairofheuristics, thosewhichappliedaneighborhoodsearchproducedimprovedresults. Another interestingobservation is that theenumerationmethod,asexplained inSection5.3,did notguarantee theoptimalsolution in thecaseofaflowshopwith just-in-time jobs.Of the instances optimallysolved, thedeviations fromtheenumerationmethodwereonaverage0.4%,asexpected, withanaveragerunningtimeof1.48s. TheaveragerunningtimeofCPLEXwas199.88s (3.33min). Giventhedifficulties toproveoptimality, forGroup2,onlyone instanceperclasswassolvedby CPLEXwith theCPUtimewas limitedto3600s. Thus,96mediumandlarge instanceswereexecuted. 70
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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