Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
This paper proposes a non-uniform neighborhood relation which has been developed to solve job shop scheduling by simulated annealing-based algorithms. To represent the job shop scheduling problem we employ the model of disjunctive graphs. The generation probability of a neighbor depends on the number of longest paths in the underlying graph representation and gives a preference to transitions where a decrease of longest paths is most likely. The choice of the generation probability has been confirmed by our computational experiments. For optimal and near optimal solutions we observed a small number of longest paths, e.g., our best solutions for problem instances with a maximum number of about 50 longest paths had only between one and five longest paths. Using this neighborhood relation combined with a specifically designed cooling schedule, we could improve five upper bounds of the large unsolved 20×20 and 50×10 benchmark problems YN1, YN4, SWV12, SWV13, and SWV15. The maximum improvement shortens the gap between the lower and the previous upper bound by about 57%. Approximations within 1% and 5% of the upper bounds on YN1-YN4, SWV11-SWV13, and SWV15 were achieved in a relatively short run-time.
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Pradip Bose
VTS 1998
Raymond Wu, Jie Lu
ITA Conference 2007
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum