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Optimal control of agent-based models via surrogate modeling

Optimal control of agent-based models via surrogate modeling

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_71db8ac874ff4a78bb744e8d5263b3ca

Optimal control of agent-based models via surrogate modeling

About this item

Full title

Optimal control of agent-based models via surrogate modeling

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2025-01, Vol.21 (1), p.e1012138

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

This paper describes and validates an algorithm to solve optimal control problems for agent-based models (ABMs). For a given ABM and a given optimal control problem, the algorithm derives a surrogate model, typically lower-dimensional, in the form of a system of ordinary differential equations (ODEs), solves the control problem for the surrogate mo...

Alternative Titles

Full title

Optimal control of agent-based models via surrogate modeling

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_71db8ac874ff4a78bb744e8d5263b3ca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_71db8ac874ff4a78bb744e8d5263b3ca

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1012138

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