@inproceedings{3a485ed59ff3460480192abf8576bb29,
title = "Makespan Minimisation for Multipurpose Batch Plants Using Metaheuristic Approaches",
abstract = "Current literature involving metaheuristic approaches towards the scheduling of multipurpose batch plants has been limited to objectives which maximise profit. An important part of scheduling, however, involves the ability to find the makespan minimisation of potential product demands-a problem known to be substantially more difficult than profit maximisation. This work adapts a recently introduced general metaheuristic framework by Woolway and Majozi (2019) [1] to solve the makespan minimisation problem for multipurpose batch plants. The modified framework and corresponding genetic algorithm are applied to two well-known literature examples, with results showing that not only is this metaheuristic approach able to solve the makespan problem often; but it is able to do so at substantially reduced computational times.",
keywords = "Computational Intelligence, Metaheuristics, Multipurpose Batch Plants, Optimisation, Scheduling",
author = "{Van Zyl}, {T. L.} and M. Woolway",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Soft Computing and Machine Intelligence, ISCMI 2020 ; Conference date: 14-11-2020 Through 15-11-2020",
year = "2020",
month = nov,
day = "14",
doi = "10.1109/ISCMI51676.2020.9311596",
language = "English",
series = "2020 7th International Conference on Soft Computing and Machine Intelligence, ISCMI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "56--60",
booktitle = "2020 7th International Conference on Soft Computing and Machine Intelligence, ISCMI 2020",
address = "United States",
}