Hybrid metaheuristic techniques for optimising sugarcane rail operations
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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|Item Type:||Journal Article|
|Keywords:||Scheduling, Sugarcane, Railways, Metaheuristics|
|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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