Hybrid metaheuristic techniques for optimising sugarcane rail operations
Description
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.
Impact and interest:
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| ID Code: | 88854 | ||||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||||
| Refereed: | Yes | ||||||
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| Measurements or Duration: | 21 pages | ||||||
| Keywords: | Metaheuristics, Railways, Scheduling, Sugarcane | ||||||
| DOI: | 10.1080/00207543.2014.957870 | ||||||
| ISSN: | 0020-7543 | ||||||
| Pure ID: | 32859424 | ||||||
| Divisions: | Past > Institutes > Institute for Future Environments Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Schools > School of Mathematical Sciences |
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| Copyright Owner: | Consult author(s) regarding copyright matters | ||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||
| Deposited On: | 12 Oct 2015 04:23 | ||||||
| Last Modified: | 01 Mar 2024 15:31 |
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