A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time
收藏DataCite Commons2022-07-14 更新2025-04-16 收录
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https://dataverse.telkomuniversity.ac.id/citation?persistentId=doi:10.34820/FK2/DC4WZP
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资源简介:
This work aims to minimize intermediate storage with a tolerable maximum completion time level. In this work, the proposed model was developed by using an evolutionary algorithm (EA).
提供机构:
Telkom University Dataverse
创建时间:
2022-07-14



