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Modeling and Optimization of Traffic Flow in Urban Areas - Czech ...

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Appendix ATORSCHE AlgorithmsA.1 Schedul<strong>in</strong>g Algorithmsalgorithm comm<strong>and</strong> problemAlgorithm for 1|r j |C max alg1rjcmax 1|r j |C maxBratley’s Algorithm bratley 1|r j , ˜d j |C maxHorn’s Algorithm horn 1|pmtn, r j |L maxHodgson’s Algorithm alg1sumuj 1|| ∑ U jAlgorithm for 1|| ∑ w j D j alg1sumwjdj 1|| ∑ w j D jAlgorithm for P ||C max algpcmax P ||C maxDynamic Prog. <strong>and</strong> P ||C max algpcmaxdp P ||CmaxMcNaughton’s Algorithm mcnaughtonrule P |pmtn|C maxAlgorithm for P |r j , prec, ˜d j |C max algprjdeadl<strong>in</strong>epreccmax P |r j , prec, ˜d j |C maxHu’s Algorithm hu P |<strong>in</strong>-tree, p j = 1|C maxBrucker’s algorithm brucker76 P |<strong>in</strong>-tree, p j = 1|L maxList Schedul<strong>in</strong>g listsch P |prec|C maxC<strong>of</strong>fman’s <strong>and</strong> Graham’s Algorithm c<strong>of</strong>fmangraham P 2|prec, p j = 1|C maxSAT Schedul<strong>in</strong>g satsch P |prec|C maxJohnson’s Algorithm johnson F 2||C maxGonzales Sahni’s Algorithm gonzalezsahni O2||C maxJackson’s Algorithm jackson J2|n j ≤ 2|C maxAlgorithm cpshopscheduler cpshopscheduler J, F, O||C maxAlg. for F 2, R1|p ij = 1, t j |C max algf2r1pijtjcmax F 2, R1|p ij = 1, t j |C maxAlg. for F ||C max with lim. buffers fslbAlg. for O|p ij = 1| ∑ T i algopij1sumtiF ||C maxO|p i = 1| ∑ T iPositive <strong>and</strong> Negative Time-Lags spntl SP NT LCyclic schedul<strong>in</strong>g (General) cycsch CSCHSAT Schedul<strong>in</strong>g satsch P |prec|C max67

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