Hybrid metaheuristic techniques for optimising sugarcane rail operations

Masoud, Mahmoud, Kozan, Erhan, & Kent, Geoff (2015) Hybrid metaheuristic techniques for optimising sugarcane rail operations. International Journal of Production Research, 53(9), pp. 2569-2589.

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Mixed integer programming and parallel-machine job shop scheduling are used to solve the sugarcane rail transport scheduling problem. Constructive heuristics and metaheuristics were developed to produce a more efficient scheduling system and so reduce operating costs. The solutions were tested on small and large size problems. High-quality solutions and improved CPU time are the result of developing new hybrid techniques which consist of different ways of integrating simulated annealing and Tabu search techniques.

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ID Code: 88854
Item Type: Journal Article
Refereed: Yes
Keywords: Scheduling, Sugarcane, Railways, Metaheuristics
DOI: 10.1080/00207543.2014.957870
ISSN: 0020-7543
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 12 Oct 2015 04:23
Last Modified: 12 Oct 2015 04:23

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