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Algorithms 2018,11, 66 Table3.Computational results for randomlygenerated instances fromclasses2–7. n |B| N-FixJobs Laws Δ(%) Δmid−p (%) PerOB(πk,T) Δmid−p/Δ Δmax/Δ CPU-Time(s) 1 2 3 4 5 6 7 8 9 10 Class2 50 1 0 1.2.3 1.023598 2.401925 1.027 2.346551 1,395708 0,020781 100 1 0 1.2.3 0.608379 0.995588 0.9948 1.636461 1.618133 0.047795 500 1 0 1.2.3 0.265169 0.482631 0.9947 1.820092 1.630094 0.215172 1000 1 0 1.2.3 0.176092 0.252525 0.9952 1.434053 1.427069 0.535256 5000 1 0 1.2.3 0.111418 0.14907 0.9952 1.33793 1.089663 7.096339 10,000 1 0 1.2.3 0.117165 0.13794 0.9948 1.177313 1.004612 25.28328 Minimum 0.111418 0.13794 0.9947 1.177313 1.004612 0.020781 Average 0.383637 0.736613 0.99494 1.6254 1.399944 5.533104 Maximum 1.023598 2.401925 0.9952 2.346551 1.630094 25.28328 Class3 50 3 1 1.2.3 0.636163 0.657619 1.171429 1.033727 1.004246 0.047428 100 3 1 1.2.3 1.705078 1.789222 1.240238 1.049349 1.009568 0.066329 500 3 1 1.2.3 0.332547 0.382898 1.205952 1.151412 1.138869 0.249044 1000 3 1 1.2.3 0.286863 0.373247 1.400833 1.301132 1.101748 0.421837 5000 3 1 1.2.3 0.246609 0.323508 1.380833 1.311825 1.140728 2.51218 10,000 3 1 1.2.3 0.26048 0.338709 1.098572 1.300324 1.095812 5.46782 Minimum 0.246609 0.323508 1.098572 1.033727 1.004246 0.047428 Average 0.577957 0.644201 1.249643 1.191295 1.0818286 1.460773 Maximum 1.705078 1.789222 1.400833 1.311825 1.140728 5.46782 Class4 50 3 1 1 0.467885 0.497391 1.17369 1.063064 1.035412 0.043454 100 3 1 1 0.215869 0.226697 1.317222 1.05016 1.031564 0.067427 500 3 1 1 0.128445 0.15453 1.424444 1.203083 1.17912 0.256617 1000 3 1 1 0.111304 0.118882 1.307738 1.068077 1.042852 0.50344 5000 3 1 1 0.076917 0.085504 1.399048 1.111631 1.046061 2.612428 10,000 3 1 1 0.067836 0.076221 1.591905 1.123606 1.114005 4.407236 Minimum 0.067836 0.076221 1.17369 1.05016 1.031564 0.043454 Average 0.178043 0.193204 1.369008 1.10327 1.074836 1.3151 Maximum 0.467885 0.497391 1.591905 1.203083 1.17912 4.407236 Class5 50 3 2 1.2.3 1.341619 1.508828 1.296195 1.124632 1.035182 0.049344 100 3 2 1.2.3 0.700955 0.867886 1.271976 1.238149 1.037472 0.070402 500 3 2 1.2.3 0.182378 0.241735 1.029 1.32546 1.296414 0.255463 1000 3 2 1.2.3 0.098077 0.11073 1.473451 1.129006 1.104537 0.509969 5000 3 2 1.2.3 0.074599 0.084418 1.204435 1.131624 1.056254 2.577595 10,000 3 2 1.2.3 0.064226 0.074749 1.359181 1.163846 1.042676 5.684847 Minimum 0.064226 0.074749 1.029 1.124632 1.035182 0.049344 Average 0.410309 0.481391 1.272373 1.185453 1.095422 1.524603 Maximum 1.341619 1.508828 1.473451 1.32546 1.296414 5.684847 Class6 50 4 2 1.2.3 0.254023 0.399514 1.818905 1.57275 1.553395 0.058388 100 4 2 1.2.3 0.216541 0.260434 1.868278 1.202704 1.03868 0.091854 500 4 2 1.2.3 0.081932 0.098457 1.998516 1.201691 1.1292 0.365865 1000 4 2 1.2.3 0.06145 0.067879 1.933984 1.104622 1.061866 0.713708 5000 4 2 1.2.3 0.050967 0.060394 1.936453 1.184953 1.048753 3.602502 10,000 4 2 1.2.3 0.045303 0.05378 2.332008 1.187101 1.038561 7.426986 Minimum 0.045303 0.05378 1.818905 1.104622 1.038561 0.058388 Average 0.118369 0.156743 1.981357 1.242304 1.1450756 2.043217 Maximum 0.254023 0.399514 2.332008 1.57275 1.553395 7.426986 Class7 50 2 2–4 1.2.3 4.773618 6.755918 0.262946 1.415262 1.308045 0.039027 100 2 2–4 1.2.3 3.926612 4.991843 0.224877 1.271285 1.160723 0.059726 500 2 2–6 1.2.3 3.811794 4.600017 0.259161 1.206785 1.132353 0.185564 1000 2 2–8 1.2.3 3.59457 4.459855 0.337968 1.24072 1.08992 0.474514 5000 2 2–8 1.2.3 3.585219 4.297968 0.261002 1.198802 1.031319 2.778732 10,000 2 2–8 1.2.3 3.607767 4.275581 0.299311 1.185105 1.013096 5.431212 Minimum 3.585219 4.275581 0.224877 1.185105 1.013096 0.039027 Average 3.883263 4.896864 0.274211 1.252993 1.122576 1.494796 Maximum 4.773618 6.755918 0.337968 1.415262 1.308045 5.431212 38
zurĂŒck 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
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Technik
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Algorithms for Scheduling Problems