Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200619076> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4200619076 endingPage "108315" @default.
- W4200619076 startingPage "108315" @default.
- W4200619076 abstract "The particle swarm optimization (PSO) algorithm has been widely used to solve optimization problems. One of its main drawbacks is a slow and sometimes premature convergence, which traps the swarm in a local minimum. Several PSO variants have been proposed to alleviate this phenomenon. Still, when dealing with structural damage detection (SDD), the performances of these algorithms are not homogeneous and highly depend on the number of defects and their severities, which even lead them to require assistance from other methods. This paper proposes a multi-component PSO with cooperative learning named MuC-PSO. Instead of resorting to other methods, a strategy pool is constructed in the proposed MuC-PSO by combining four PSO variants, which guarantees that the algorithm can execute multiple search strategies collaboratively. Moreover, a leader learning mechanism (LLM) is also implemented to ensure information exchange and lead the global convergence of the method. This strategy allows the PSO variants to benefit from each other and enables the MuC-PSO to solve complex SDD problems. The performances of the MuC-PSO are evaluated in nine damage scenarios of single and multiple damages with severity levels between [10%,50%]. Our algorithm is compared with different recent optimization algorithms, including the four PSO variants alone and some non-PSO algorithms. The simulation results on three types of damages clearly demonstrate the effectiveness and superiority of the MuC-PSO." @default.
- W4200619076 created "2021-12-31" @default.
- W4200619076 creator A5010380305 @default.
- W4200619076 creator A5053931833 @default.
- W4200619076 creator A5079534937 @default.
- W4200619076 date "2022-02-01" @default.
- W4200619076 modified "2023-10-18" @default.
- W4200619076 title "A multi-component PSO algorithm with leader learning mechanism for structural damage detection" @default.
- W4200619076 cites W1560973405 @default.
- W4200619076 cites W1968626674 @default.
- W4200619076 cites W1984490126 @default.
- W4200619076 cites W2027631968 @default.
- W4200619076 cites W2081148823 @default.
- W4200619076 cites W2093319495 @default.
- W4200619076 cites W2106142381 @default.
- W4200619076 cites W2108388069 @default.
- W4200619076 cites W2139386387 @default.
- W4200619076 cites W2162251574 @default.
- W4200619076 cites W2290931529 @default.
- W4200619076 cites W2291682194 @default.
- W4200619076 cites W2444074234 @default.
- W4200619076 cites W2510050171 @default.
- W4200619076 cites W2548265241 @default.
- W4200619076 cites W2563107920 @default.
- W4200619076 cites W2588846930 @default.
- W4200619076 cites W2792782482 @default.
- W4200619076 cites W2916588787 @default.
- W4200619076 doi "https://doi.org/10.1016/j.asoc.2021.108315" @default.
- W4200619076 hasPublicationYear "2022" @default.
- W4200619076 type Work @default.
- W4200619076 citedByCount "7" @default.
- W4200619076 countsByYear W42006190762022 @default.
- W4200619076 countsByYear W42006190762023 @default.
- W4200619076 crossrefType "journal-article" @default.
- W4200619076 hasAuthorship W4200619076A5010380305 @default.
- W4200619076 hasAuthorship W4200619076A5053931833 @default.
- W4200619076 hasAuthorship W4200619076A5079534937 @default.
- W4200619076 hasConcept C11413529 @default.
- W4200619076 hasConcept C121332964 @default.
- W4200619076 hasConcept C126255220 @default.
- W4200619076 hasConcept C154945302 @default.
- W4200619076 hasConcept C162324750 @default.
- W4200619076 hasConcept C168167062 @default.
- W4200619076 hasConcept C181335050 @default.
- W4200619076 hasConcept C2777303404 @default.
- W4200619076 hasConcept C33923547 @default.
- W4200619076 hasConcept C41008148 @default.
- W4200619076 hasConcept C50522688 @default.
- W4200619076 hasConcept C58758708 @default.
- W4200619076 hasConcept C85617194 @default.
- W4200619076 hasConcept C97355855 @default.
- W4200619076 hasConceptScore W4200619076C11413529 @default.
- W4200619076 hasConceptScore W4200619076C121332964 @default.
- W4200619076 hasConceptScore W4200619076C126255220 @default.
- W4200619076 hasConceptScore W4200619076C154945302 @default.
- W4200619076 hasConceptScore W4200619076C162324750 @default.
- W4200619076 hasConceptScore W4200619076C168167062 @default.
- W4200619076 hasConceptScore W4200619076C181335050 @default.
- W4200619076 hasConceptScore W4200619076C2777303404 @default.
- W4200619076 hasConceptScore W4200619076C33923547 @default.
- W4200619076 hasConceptScore W4200619076C41008148 @default.
- W4200619076 hasConceptScore W4200619076C50522688 @default.
- W4200619076 hasConceptScore W4200619076C58758708 @default.
- W4200619076 hasConceptScore W4200619076C85617194 @default.
- W4200619076 hasConceptScore W4200619076C97355855 @default.
- W4200619076 hasFunder F4320322725 @default.
- W4200619076 hasLocation W42006190761 @default.
- W4200619076 hasLocation W42006190762 @default.
- W4200619076 hasLocation W42006190763 @default.
- W4200619076 hasOpenAccess W4200619076 @default.
- W4200619076 hasPrimaryLocation W42006190761 @default.
- W4200619076 hasRelatedWork W1954753558 @default.
- W4200619076 hasRelatedWork W2013779087 @default.
- W4200619076 hasRelatedWork W2064103901 @default.
- W4200619076 hasRelatedWork W2122222693 @default.
- W4200619076 hasRelatedWork W2143342114 @default.
- W4200619076 hasRelatedWork W2143454361 @default.
- W4200619076 hasRelatedWork W2355000347 @default.
- W4200619076 hasRelatedWork W2357143137 @default.
- W4200619076 hasRelatedWork W2361012215 @default.
- W4200619076 hasRelatedWork W4377980640 @default.
- W4200619076 hasVolume "116" @default.
- W4200619076 isParatext "false" @default.
- W4200619076 isRetracted "false" @default.
- W4200619076 workType "article" @default.