Home › Entities › academia › A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions

A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions

Research article (IET Collaborative Intelligent Manufacturing, 2022) · cited 21× · AI/ML
academia openalex:W4295048774
Press Enter · cited answer in seconds

A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions

Summary

A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions is a scholarly article[1].

Key Facts

  • A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions's instance of is recorded as scholarly article[2].

Related Entities

Birgit Vogel-Heuser

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions
MLA “A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions.
BibTeX @misc{4ortxyz_a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions — https://4ort.xyz/entity/a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-deep-reinforcement-learning-based-approach-for-dynamic-distributed-blocking-flowshop-scheduling-with-job-insertions · Last refreshed: