Hybrid metaheuristic techniques for optimising sugarcane rail operations

Mahmoud Masoud, Erhan Kozan and Geoff Kent

International Journal of Production Research, 2015, vol. 53, issue 9, 2569-2589

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.

Date: 2015
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DOI: 10.1080/00207543.2014.957870

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