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Data · dataset · 2024

Supplementary Files for the article titles as - Q-learning Guided Algorithms for Bi-Criteria Minimization of Total Flow Time and Makespan in No-Wait Permutation Flowshops

Listed in Teesside University Research Data Repository

This file contains the supplementary files for the article titles as "Q-learning Guided Algorithms for Bi-Criteria Minimization of Total Flow Time and Makespan in No-Wait Permutation Flowshops".

Description

There is 1 pdf file containing the computational results of the different variants of the BC-GLS algorithms presented in the article. To simplify the computational tables in the article, the computational results of different variants of the BC-GLS algorithms are provided in supplementary files.

Only the BC-GLSPMX variant, deemed the most effective, is retained in the article.

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Catalogue records · 1

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/fhm8b3xyr2.115 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title