Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Informatik
Algorithms for Scheduling Problems
Seite - 71 -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - 71 - in Algorithms for Scheduling Problems

Bild der Seite - 71 -

Bild der Seite - 71 - in Algorithms for Scheduling Problems

Text der Seite - 71 -

Algorithms 2018,11, 43 For22 instances,no integersolutionwasfoundor themodelprovidedasolutionwithzerovalue. In mostcases, theheuristic solutionsweremuchbetter thanthe lowerboundgivenbyCPLEX, leadingto verynegativeRPD,ascanbeobservedinTable11. Table11.Overallperformance (averageRPD)ofheuristics inrelation to lowerboundgivenbyCPLEX bynumberof jobs for instancesofGroup2. n H1 H2 H3 H4 H5 H6 H7 H8 H9 H10 15 6.5 1.0 10.3 6.9 1.0 1.0 56.7 41.1 28.2 36.8 20 −5.0 −6.5 4.0 −2.8 −8.8 −8.8 66.5 49.6 23.1 41.1 30 −49.0 −52.5 −38.0 −40.1 −52.0 −52.0 68.4 57.2 −7.4 38.5 80 −1080.2 −1082.0 −1001.7 −1032.6 −1082.0 −1082.0 −13.5 −93.2 −764.4 −251.9 100 −1276.7 −1276.7 −990.8 −1159.3 −1276.7 −1276.7 −460.6 −518.8 −865.0 −276.1 Themorenegative is theRPDofaheuristic, thebetter is its result inrelationto the lowerbound. It couldbenotedthateventheworstheuristic (H7)providedresults thatwerebetter thanthe lower boundgivenbyCPLEX.Theseresultsconfirmallprevious inferences. Thecoincidenceof theresults forH5andH6isremarkable, suggestingthatneighborhoodsearchesdonot improvethesolutionof mediumandlarge instances. 5.4. ComputationalEfficiency Thecomparisonofcomputationalefficiency, i.e., theaverageconsumptionofCPUtimemeasured inmilliseconds(ms),ofeachheuristic forGroups1and2, theenumerationmethodandCPLEXfor Group1areshowninTable12. Table12.Computationalefficiency(averageCPUtimes inmilliseconds). SolutionMethod Group1 Group2 H1 0.08 67.99 H2 0.33 7895.49 H3 0.03 72.55 H4 0.32 7820.17 H5 0.01 1.21 H6 0.13 391.51 H7 0.01 1.28 H8 0.12 190.49 H9 0.06 79.02 H10 0.05 56.29 EM 1483.65 – Model 199,882.99 – Asexpected, theEMandCPLEXconsumedmuchmoreCPUtimethantheheuristics. For the small instances (Group1), thecomputational timesofall theheuristicswerealmostzeroand, for the mediumandlargeones (Group2),H2andH4tookthe longest times,nearly8sonaverage,which wererelativelyhighcomparedwith thoseofothermethodsbutdoesnotprecludetheiruse.Allother heuristics requiredfar less timethanonesecondwhichdemonstratedtheviabilityofusingthemin practice. It isworthnoting thatH5,whichrankedsecondwithasolutionqualityveryclose to that ofH6, consumed less thanahalf secondonaverage for large instances, thereby indicating itshigh computationalefficiency. Finally, inanoverallanalysisof theresultsandthesolutionapproachesproposedinthispaper (exactandheuristic), theapplicabilityof thedevelopedheuristicswere justifiedanddemonstrated in terms of both solution quality (an average of 0.6%deviation from the optimumwith the best heuristicH6)andcomputationalefficiency(anaverageof0.4s for large instancesalsowithH6). The 71
zurück zum  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
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Algorithms for Scheduling Problems