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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.
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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