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Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba244d4683d746c0a869c65cfb81b26a

Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

About this item

Full title

Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

Publisher

Cairo, Egypt: Hindawi Limiteds

Journal title

Abstract and Applied Analysis, 2013-01, Vol.2013 (2013), p.235-251-822

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Limiteds

More information

Scope and Contents

Contents

We investigate the optimal scheduling of retrieval jobs for double-deep type Automated Storage and Retrieval Systems (AS/RS) in the Flexible Manufacturing System (FMS) used in modern industrial production. Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO...

Alternative Titles

Full title

Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ba244d4683d746c0a869c65cfb81b26a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba244d4683d746c0a869c65cfb81b26a

Other Identifiers

ISSN

1085-3375

E-ISSN

1687-0409

DOI

10.1155/2013/634812

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