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Algorithms 2018,11, 43
Figure1. Exampleofdifferent scheduleswith the samesequenceof jobs: (a) only J3 is just-in-time;
(b) J2 and J1 are just-in-time;and(c) J2 and J3 are just-in-time.
Therefore, theEMenumeratesallpossiblesequences,but it is impractical toprobeallpossible
schedules,especially formediumandlargescale instances.Giventhat, theEMwasnotappliedfor
Group2’s instances,andthebest solutionfoundbytheheuristicsH1–H10wasconsideredasreference
for the instances in thisgroup.
EnumerationMethod
Step1.Enumerate then! possiblesequencesandconsider theonewith thebestnJIT.
Step2.Apply the timingadjustmentprocedure.
Algorithm12.Pseudo-codeof theenumerationmethod.
Figure 2 graphically presents the results, with 95% confidence intervals of the averageRPD
obtainedbyeachheuristicmethodforbothGroups1and2. The95%confidence intervalmeans that
theresults (RPD)of95casesamong100arewithin thedisplayedrange.
Theglobalanalysisof results revealedthatH6clearlyoutperformedtheotherheuristics,witha
RPDof0.2%forbothGroups1and2(ascanbeseen inTable4)which indicates that itprovidedthe
bestorveryclose to thebest solutions formanycases.
Figure2.Comparisonofperformancesofheuristicsbygroupwith95%confidence intervalofaverage
RPD: (a) relatedtoEMforGroup1;and(b) relatedto thebestH1–H10solutionforGroup2.
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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