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An effective solution to numerical and multi-disciplinary design optimization problems using chaotic...

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8164690

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

About this item

Full title

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

Publisher

London: Springer London

Journal title

Engineering with computers, 2022-10, Vol.38 (Suppl 4), p.2739-2777

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Slime mold algorithm (SMA) is a recently developed meta-heuristic algorithm that mimics the ability of a single-cell organism (slime mold) for finding the shortest paths between food centers to search or explore a better solution. It is noticed that entrapment in local minima is the most common problem of these meta-heuristic algorithms. Thus, to f...

Alternative Titles

Full title

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8164690

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8164690

Other Identifiers

ISSN

0177-0667

E-ISSN

1435-5663

DOI

10.1007/s00366-021-01409-4

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