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Algorithms 2018,11, 50 Figure7.Branch-and-boundoptimizationresult. Figure8.Gradientalgorithmoptimizationresult. Resultsofanalysisgivesusunderstandingthat foramodestdimensionalityschedulingproblem bothconsideredapproachesareapplicable.However,as thenumberofoperations inmanufacturing proceduregrowsand thenumber of orders increases,wewill experience an enormousgrowthof algorithmiterations forenumeration(branch-and-bound) techniqueandthegradient-alikealgorithm willobviouslydetect localoptimumasthebestachievablesolution(whichmeans theoptimization resultswilldiffermoreandmorecompared to thedigits inTable1). Risingdifferencebetween the results is showninTable2. Expanding thepreviousproblemforaprocedureof500operations in2orderswewillget the resultspresented inTable3. 123
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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