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Algorithms 2018,11, 66
πmax. The smallest errors, average errors, largest errors for the tested series of the instances are
presented in the last rowsofTable2.
Table2.Computational results for randomlygenerated instanceswithasingleblock(class1).
n δ(%) Δ(%) Δmid−p (%) PerOB(πk,T) Δmid−p/Δ Δmax/Δ CPU-Time(s)
1 2 3 4 5 6 7 8
100 1 0.08715 0.197231 1.6 2.263114 1.27022 0.046798
100 5 0.305088 0.317777 1.856768 1.041589 1.014261 0.031587
100 10 0.498286 0.500731 1.916064 1.001077 1.000278 0.033953
500 1 0.095548 0.208343 1.6 2.18052 1.0385 0.218393
500 5 0.273933 0.319028 1.909091 1.164623 1.017235 0.2146
500 10 0.469146 0.486097 1.948988 1.036133 1.006977 0.206222
1000 1 0.093147 0.21632 1.666667 2.322344 1.090832 0.542316
1000 5 0.264971 0.315261 1.909091 1.189795 1.030789 0.542938
1000 10 0.472471 0.494142 1.952143 1.045866 1.000832 0.544089
5000 1 0.095824 0.217874 1.666667 2.273683 1.006018 7.162931
5000 5 0.264395 0.319645 1.909091 1.208965 1.002336 7.132647
5000 10 0.451069 0.481421 1.952381 1.06729 1.00641 7.137556
10,000 1 0.095715 0.217456 1.666667 2.271905 1.003433 25.52557
10,000 5 0.26198 0.316855 1.909091 1.209463 1.003251 25.5448
10,000 10 0.454655 0.486105 1.952381 1.069175 1.003809 25.50313
Minimum 0.08715 0.197231 1.6 1.001077 1.000278 0.031587
Average 0.278892 0.339619 1.827673 1.489703 1.033012 6.692502
Maximum 0.498286 0.500731 1.952381 2.322344 1,27022 25.5448
In the secondpart of our experiments, Algorithm3was applied to the randomly generated
instances fromotherhardclasses2–7of theproblem1|pLi ≤ pi≤ pUi |∑Ci.Werandomlygenerated
non-fixed jobs J1, J2, . . . , Js,whichbelongtoallblocksB1,B2, . . .,Bmof therandomlygeneratedn−s
fixed jobs. The lower bound pLi and theupper bound p U
i on the feasible values of pi∈R1+ of the
processing timesof thefixed jobs, pi∈ [pLi ,pUi ],weregeneratedas follows.Wedeterminedaboundof
blocks [b˜Li , b˜ U
i ] forgeneratingthecoresof theblocks [b L
i ,b U
i ]⊆ [b˜Li , b˜Ui ]andforgeneratingthesegments
[pLi ,p U
i ] for theprocessing times of |Bi| jobs fromall blocksBi, i ∈ {1,2,3}, [bLi ,bUi ]⊆ [pLi ,pUi ]⊆
[b˜Li , b˜ U
i ]. Each instance inclass2hasfixed jobs Ji∈Jwithratherclosedcenters (pLi +pUi )/2andlarge
differencebetweensegment lengths pUi −pLi .
Each instance inclass3or inclass4hasasinglenon-fixed job Jv,whoseboundsaredetermined
as follows: pLJv ≤ b˜L1 ≤ b˜U1 < b˜L2 ≤ b˜U2 < b˜L3 ≤ b˜U3 ≤ pUJv. Classes3and4of thesolvedinstancesdiffer
onefromanotherbythenumbersofnon-fixed jobsandthedistribution lawsusedforchoosingthe
factualprocessingtimesof the jobsJ . Each instance fromclasses5and6has twonon-fixed jobs. In
each instance fromclasses2,3,5,6and7, forgeneratingthefactualprocessingtimes for the jobsJ ,
thenumbersof thedistributionlawwererandomlychosenfromtheset{1,2,3}, andtheyare indicated
incolumn4 inTable3. In the instancesof class7, thecoresof theblocksweredetermined inorder
togeneratedifferentnumbersofnon-fixed jobs indifferent instances. Thenumbersofnon-fixed jobs
were randomlychosen fromtheset{2,3,. . . ,8}. Numbersnof the jobsarepresented incolumn1.
InTable 3, column2 represents thenumber |B|of blocks in the solved instance and column3 the
number of non-fixed jobs. The distribution lawsused for determining the factual job processing
timesare indicated incolumn4inTable3. Eachsolvedseriescontained10 instanceswith thesame
combinationofnandtheotherparameters. Theobtainedsmallest, averageandlargestvaluesofΔ,
Δmid−p, Δmid−p
Δ and Δmax
Δ for each series of the tested instances arepresented in columns5, 6, 8 and
9 inTable3at theendofseries. Column7presents theaveragerelativeperimeterof theoptimality
boxOB(πk,T) for thepermutationπkwith theminimalvalueofF(πk,T). Column10presents the
averageCPU-timeofAlgorithm3for thesolvedinstances inseconds.
37
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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