@inproceedings{e544455e64ee4667a9281c1536252e70,
title = "Solving the Multi-Objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process",
abstract = "This paper considers a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes. We propose a novel associated chromosome encoding and customise the classic MOEA/D multi-objective genetic algorithm with new genetic operators. The applicability of the proposed approach is evaluated experimentally and showed to outperform typical multi-objective genetic algorithms. The problem variant is motivated by real-world manufacturing in a chemical plant and is applicable to other plants that manufacture goods using alternative recipes.",
keywords = "Multi-objective genetic algorithms, Multi-objective job-shop scheduling, Process manufacturing optimisation",
author = "Piotr Dziurzanski and Shuai Zhao and Jerry Swan and {Soares Indrusiak}, Leandro and Sebastian Scholze and Karl Krone",
note = "This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details. ",
year = "2019",
month = apr,
day = "24",
doi = "10.1007/978-3-030-16692-2_3",
language = "English",
isbn = "9783030166915",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "33--48",
editor = "Paul Kaufmann and Castillo, {Pedro A.}",
booktitle = "Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings",
address = "Germany",
}