Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
Informatik
Algorithms for Scheduling Problems
Page - 10 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 10 - in Algorithms for Scheduling Problems

Image of the Page - 10 -

Image of the Page - 10 - in Algorithms for Scheduling Problems

Text of the Page - 10 -

Algorithms 2018,11, 18 IfCondition6 is satisfied, itmeans job i cannotbeprocessedwithinanyoneof themid-peak periods, let aloneoff-peakperiods. Inotherwords, job i canonlybeused tofill the remaining idle timeof a certain periodwith lower electricity price. There is an obvious regularity that themore the remaining idle timeof theoff-peakormid-peakperiod job ioccupy, the lower is itsprocessing electricitycost. Figure7showsall thepossiblepositions forascenario. Theanalysisprocessof the possiblepositions that job icanbe inserted into issimilar toCondition4,and, therefore,willnotbe repeatedhere. Figure7. IllustrationofCondition6. Condition7:maxk′∈B{Ik′}=0. Condition7 implies that all theoff-peakperiods andmid-peakperiods are full, and job i can onlybe inserted intoon-peakperiods. Ifmaxk′′∈Γ { Ik′′ } < ti, job ishouldbe inserted intoallnon-full on-peak periods bymoving a set of already inserted jobs, and then the positionwith the lowest insertioncostcanbechosen. Themovementmethodcanrefer toCheetal. [9]. Thecorecomponentoftheheuristicalgorithmisdescribedasapseudocode,showninAlgorithm1. Note that theargmin(Ik≥ ti)denotes theminimal indexk for Ik≥ ti. Theorem1.Theproposedheuristic algorithmruns inO(n2m|Γ|) in theworst case. Proof. Step1runs inO(nlogn) time for sortingnnumbersandStep2requiresO(m) time. Foreach given job, StepC1 runs inO(|A|) in theworst case andStepC2 requiresO(1). StepsC3 andC5 bothrequireO(|B|)operations in theworst case. StepsC4andC6demandO(nm) to compute the movementcostwhencalculating the insertioncost. StepC7 includesstepsC7.1andC7.2,wherein thecomplexityofstepC7.1 isO(|Γ|),andthecomplexityofstepC7.2 isO(nm|Γ|). Therefore, step C7requiresO(nm|Γ|)operations in theworstcase. Tosummarize, theproposedalgorithmruns in O(n2m|Γ|) in theworstcase. Now,assumethatno jobsneedto traverseallnon-fullon-peakperiods, that is, theStepC7.2has neverbeenused. In this case, the timecomplexityof theproposedalgorithmisO(n2m). However, theclassicgreedyinsertionalgorithmproposedbyCheetal. [9] requiresO(n2m2)operations in the worst casewhendealingwith the sameproblem, because their algorithm requires all the jobs to traverseallnon-fullperiods tofindanoptimumposition. 10
back to the  book Algorithms for Scheduling Problems"
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
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Algorithms for Scheduling Problems