Solving the Multi-Objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process
Piotr Dziurzanski, Shuai Zhao, Jerry Swan, Soares Indrusiak Leandro, Sebastian Scholze and Karl Krone
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.
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BibTex Entry
@incollection{Dziurzanski_2019a,
author = {Piotr Dziurzanski and Shuai Zhao and Jerry Swan and {Soares Indrusiak}, Leandro and Sebastian Scholze and Karl Krone},
booktitle = {Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings},
day = {24},
doi = {10.1007/978-3-030-16692-2_3},
editor = {Paul Kaufmann and Castillo, {Pedro A.}},
isbn = {9783030166915},
keywords = {Multi-objective genetic algorithms, Multi-objective job-shop scheduling, Process manufacturing optimisation},
language = {English},
month = {4},
note = {This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.},
pages = {33--48},
publisher = {Springer International Publishing},
pure_url = {https://pure.york.ac.uk/portal/en/publications/solving-the-multiobjective-flexible-jobshop-scheduling-problem-with-alternative-recipes-for-a-chemical-production-process(e544455e-64ee-4667-a928-1c1536252e70).html},
series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
title = {Solving the Multi-Objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process},
url = {https://doi.org/10.1007%2F978-3-030-16692-2_3},
year = {2019}
}