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Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494704898

Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

About this item

Full title

Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

Publisher

Henderson: Tech Science Press

Journal title

Computers, materials & continua, 2021-01, Vol.67 (3), p.2845-2862

Language

English

Formats

Publication information

Publisher

Henderson: Tech Science Press

More information

Scope and Contents

Contents

The particle swarm optimization (PSO) algorithm is an established nature-inspired population-based meta-heuristic that replicates the synchronizing movements of birds and fish. PSO is essentially an unconstrained algorithm and requires constraint handling techniques (CHTs) to solve constrained optimization problems (COPs). For this purpose, we inte...

Alternative Titles

Full title

Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2494704898

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494704898

Other Identifiers

ISSN

1546-2226,1546-2218

E-ISSN

1546-2226

DOI

10.32604/cmc.2021.015294

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