Hybrid metaheuristic techniques for optimising sugarcane rail operations |
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Authors: | Mahmoud Masoud Geoff Kent |
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Affiliation: | Mathematical Sciences School, Queensland University of Technology, Brisbane, Australia |
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Abstract: | 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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Keywords: | scheduling sugarcane railways metaheuristics |
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