Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review

aut.filerelease.date2019-04-01
aut.relation.endpage18
aut.relation.journalGeotechnical and Geological Engineeringen_NZ
aut.relation.startpage1
aut.researcherKalatehjari, Roohollah
dc.contributor.authorKalatehjari, Ren_NZ
dc.contributor.authorHajihassani, Men_NZ
dc.contributor.authorJahed Armaghani, Den_NZ
dc.date.accessioned2019-02-25T23:18:46Z
dc.date.available2019-02-25T23:18:46Z
dc.date.copyright2017en_NZ
dc.date.issued2017en_NZ
dc.description.abstractParticle swarm optimization (PSO) is an evolutionary computation approach to solve nonlinear global optimization problems. The PSO idea was made based on simulation of a simplified social system, the graceful but unpredictable choreography of birds flock. This system is initialized with a population of random solutions that are updated during iterations. Over the last few years, PSO has been extensively applied in various geotechnical engineering aspects such as slope stability analysis, pile and foundation engineering, rock and soil mechanics, and tunneling and underground space design. A review on the literature shows that PSO has utilized more widely in geotechnical engineering compared with other civil engineering disciplines. This is due to comprehensive uncertainty and complexity of problems in geotechnical engineering which can be solved by using the PSO abilities in solving the complex and multi-dimensional problems. This paper provides a comprehensive review on the applicability, advantages and limitation of PSO in different disciplines of geotechnical engineering to provide an insight to an alternative and superior optimization method compared with the conventional optimization techniques for geotechnical engineers.
dc.identifier.citationGeotechnical and Geological Engineering, 36(2), 705-722.
dc.identifier.doi10.1007/s10706-017-0356-zen_NZ
dc.identifier.issn0960-3182en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/12286
dc.publisherSpringer Verlagen_NZ
dc.relation.urihttps://link.springer.com/article/10.1007/s10706-017-0356-zen_NZ
dc.rightsAn author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectParticle swarm optimization; Geotechnical engineering; Slope stability; Tunneling; Rock and soil mechanics
dc.titleApplications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Reviewen_NZ
dc.typeJournal Article
pubs.elements-id312822
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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