Matchup scheduling with multiple resources, release dates and disruptions
Operations Research
Sensitivity analysis of list scheduling heuristics
Discrete Applied Mathematics
Sensitivity Analysis for Scheduling Problems
Journal of Scheduling
Aggregating inconsistent information: ranking and clustering
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Generating robust and flexible job shop schedules using genetic algorithms
IEEE Transactions on Evolutionary Computation
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Heuristic performance has been mainly measured by effectiveness (near optimality) and efficiency (computational complexity). More recently researchers have begun the difficult task of evaluating heuristic stability, or sensitivity, to perturbations in the problem specifications. Various stability measures have been proposed. Here we consider how Spearman's footrule, a measure of permutation disarray, may shed some further light on this, not as yet well understood, problem.