Article ID Journal Published Year Pages File Type
6892745 Computers & Operations Research 2016 11 Pages PDF
Abstract
The proposed Prod. Type: FLPheuristics have been compared on an extensive set of instances with the best-so-far heuristic for the problem, as well as with adaptations of efficient heuristics for similar scheduling problems. The computational results show the excellent performance of the proposed algorithms. Finally, the positive impact of the efficient heuristics is evaluated by including them as seed sequences for one of the best metaheuristic for the problem.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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