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A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information

A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0e36e631bbd247bcbbfb11052ac2ce6a

A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information

About this item

Full title

A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2024-04, Vol.12 (7), p.971

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The optimization of job shop scheduling is pivotal for improving overall production efficiency within a workshop. In demand-driven personalized production modes, achieving a balance between workshop resources and the diverse demands of customers presents a challenge in scheduling. Additionally, considering the self-interested behaviors of agents, t...

Alternative Titles

Full title

A Decentralized Optimization Algorithm for Multi-Agent Job Shop Scheduling with Private Information

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0e36e631bbd247bcbbfb11052ac2ce6a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0e36e631bbd247bcbbfb11052ac2ce6a

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math12070971

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