The shifting bottleneck procedure for job shop scheduling
Management Science
Applying tabu search to the job-shop scheduling problem
Annals of Operations Research - Special issue on Tabu search
Insertion techniques for the heuristic solution of the job shop problem
Proceedings of the workshop on Discrete algorithms
A fast taboo search algorithm for the job shop problem
Management Science
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Dispatching and coordination in multi-area railway traffic management
Computers and Operations Research
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In this paper we introduce a new class of greedy heuristics for general job shop scheduling problems. In particular we deal with the classical job shop, i.e. with unlimited capacity buffer, and job shop problems with blocking and no-wait. The proposed algorithm family is a simple randomized greedy family based on a general formulation of the job shop problem. We report on an extensive study of the proposed algorithms, and comparisons with other greedy algorithms are presented.