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An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problem...

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problem...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86409ab459ef4f79ab365f85e0194b0f

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

About this item

Full title

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

Publisher

Cham: Springer International Publishing

Journal title

Complex & Intelligent Systems, 2023-02, Vol.9 (1), p.659-675

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

In dynamic multi-objective optimization problems, the environmental parameters may change over time, which makes the Pareto fronts shifting. To address the issue, a common idea is to track the moving Pareto front once an environmental change occurs. However, it might be hard to obtain the Pareto optimal solutions if the environment changes rapidly....

Alternative Titles

Full title

An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_86409ab459ef4f79ab365f85e0194b0f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86409ab459ef4f79ab365f85e0194b0f

Other Identifiers

ISSN

2199-4536

E-ISSN

2198-6053

DOI

10.1007/s40747-022-00824-4

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