One-processor scheduling with symmetric earliness and tardiness penalties
Mathematics of Operations Research
Parallel machine scheduling with earliness and tardiness penalties
Computers and Operations Research
Journal of Heuristics
The Ant System Applied to the Quadratic Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
Parallel machine earliness and tardiness scheduling with proportional weights
Computers and Operations Research
Parallel machine selection and job scheduling to minimize machine cost and job tardiness
Computers and Operations Research
An ant colony optimization for single-machine tardiness scheduling with sequence-dependent setups
Computers and Operations Research
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Influence of the instance size on the efficiency of metaheuristic algorithms for the parallel machine job scheduling with earliness and tardiness penalties problem (PMJS_E/T) has been considered since their emergence. Such size is understood as the number of jobs which need to be scheduled and the number of available machines, capable of their execution. Investigations show that the proper selection of a metaheuristic for a given instance becomes an important issue leading to noticeable improve of quality. This paper tries to determine that dependence and suggests some policy on the selection.