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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-09-04

AUTHORS

M. Hajihassani, D. Jahed Armaghani, R. Kalatehjari

ABSTRACT

Particle 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. More... »

PAGES

705-722

References to SciGraph publications

  • 2016-09-24. Geotechnical Characterization of Road Cut Hill Slope Forming Unconsolidated Geo-materials: A Case Study in GEOTECHNICAL AND GEOLOGICAL ENGINEERING
  • 2012-11-18. FAIPSO: fuzzy adaptive informed particle swarm optimization in NEURAL COMPUTING AND APPLICATIONS
  • 2009-12-01. Particle swarm optimization feedforward neural network for modeling runoff in INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • 2010-12-09. An improved cooperative particle swarm optimization and its application in NEURAL COMPUTING AND APPLICATIONS
  • 2017-06-24. On the Improvement of PSO Scripts for Slope Stability Analysis in ADVANCES IN SWARM INTELLIGENCE
  • 2017-06-13. Soil slope instability along a strategic road corridor in Meghalaya, north-eastern India in ARABIAN JOURNAL OF GEOSCIENCES
  • 2011-09-09. A coupled particle swarm and harmony search optimization algorithm for difficult geotechnical problems in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
  • 2007-06. Particle swarm optimization in SWARM INTELLIGENCE
  • 2016-12-21. Rock strength estimation: a PSO-based BP approach in NEURAL COMPUTING AND APPLICATIONS
  • 2016-04-28. Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model in ENGINEERING WITH COMPUTERS
  • 2013-11-27. Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization in ARABIAN JOURNAL OF GEOSCIENCES
  • 2010-08-05. Discontinuous flying particle swarm optimization algorithm and its application to slope stability analysis in JOURNAL OF CENTRAL SOUTH UNIVERSITY
  • 2006-01. Particle Swarm Optimization with Adaptive Mutation in FRONTIERS OF ELECTRICAL AND ELECTRONIC ENGINEERING
  • 2014-07-10. Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2015-03-17. Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach in ENVIRONMENTAL EARTH SCIENCES
  • 2016-01-06. Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers in ENVIRONMENTAL EARTH SCIENCES
  • 2011-06-22. An improved particle swarm optimization algorithm with harmony strategy for the location of critical slip surface of slopes in CHINA OCEAN ENGINEERING
  • 2017-02. Stability investigation of hill cut soil slopes along National highway 222 at Malshej Ghat, Maharashtra in JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
  • 2012-04-26. Swallow swarm optimization algorithm: a new method to optimization in NEURAL COMPUTING AND APPLICATIONS
  • 2007-04-13. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm in JOURNAL OF GLOBAL OPTIMIZATION
  • 2013-04-03. Evolutionary techniques versus swarm intelligences: application in reservoir release optimization in NEURAL COMPUTING AND APPLICATIONS
  • 2011-01-29. Theory and applications of swarm intelligence in NEURAL COMPUTING AND APPLICATIONS
  • 2013-03-27. The effects of method of generating circular slip surfaces on determining the critical slip surface by particle swarm optimization in ARABIAN JOURNAL OF GEOSCIENCES
  • 2011-03-26. A decision support system for substage-zoning filling design of rock-fill dams based on particle swarm optimization in INFORMATION TECHNOLOGY AND MANAGEMENT
  • 2009-09-17. Analysis of soil erosion characteristics in small watersheds with particle swarm optimization, support vector machine, and artificial neuronal networks in ENVIRONMENTAL EARTH SCIENCES
  • 2016-03-28. Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling in ENGINEERING WITH COMPUTERS
  • 2015-10-14. Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles in NEURAL COMPUTING AND APPLICATIONS
  • 2012-07-28. Entropy-based particle swarm optimization with clustering analysis on landslide susceptibility mapping in ENVIRONMENTAL EARTH SCIENCES
  • 2009. Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering in ADVANCES IN COMPUTATION AND INTELLIGENCE
  • 2011-10-05. Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization in JOURNAL OF CENTRAL SOUTH UNIVERSITY
  • 2017-07-04. Regression-based models for the prediction of unconfined compressive strength of artificially structured soil in ENGINEERING WITH COMPUTERS
  • 2015-02-18. Prediction of seismic slope stability through combination of particle swarm optimization and neural network in ENGINEERING WITH COMPUTERS
  • 2009. Recognition of Altered Rock Based on Improved Particle Swarm Neural Network in ADVANCES IN NEURAL NETWORKS – ISNN 2009
  • 2016-09-24. Evaluating the modulus of elasticity of soil using soft computing system in ENGINEERING WITH COMPUTERS
  • 2016-02-22. Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India in NATURAL HAZARDS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10706-017-0356-z

    DOI

    http://dx.doi.org/10.1007/s10706-017-0356-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091477574


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0914", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Resources Engineering and Extractive Metallurgy", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran", 
              "id": "http://www.grid.ac/institutes/grid.412763.5", 
              "name": [
                "Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hajihassani", 
            "givenName": "M.", 
            "id": "sg:person.01213305202.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213305202.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Civil and Environmental Engineering, Amirkabir University of Technology, 15914, Tehran, Iran", 
              "id": "http://www.grid.ac/institutes/grid.411368.9", 
              "name": [
                "Department of Civil and Environmental Engineering, Amirkabir University of Technology, 15914, Tehran, Iran"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jahed Armaghani", 
            "givenName": "D.", 
            "id": "sg:person.012214152011.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012214152011.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Built Environment Engineering Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 1010, Auckland, New Zealand", 
              "id": "http://www.grid.ac/institutes/grid.252547.3", 
              "name": [
                "Built Environment Engineering Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 1010, Auckland, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kalatehjari", 
            "givenName": "R.", 
            "id": "sg:person.013345343515.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013345343515.56"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00521-016-2728-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015743528", 
              "https://doi.org/10.1007/s00521-016-2728-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-009-0292-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017969570", 
              "https://doi.org/10.1007/s12665-009-0292-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12517-017-3043-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085993170", 
              "https://doi.org/10.1007/s12517-017-3043-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00158-011-0694-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032428719", 
              "https://doi.org/10.1007/s00158-011-0694-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10064-014-0638-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012839375", 
              "https://doi.org/10.1007/s10064-014-0638-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00366-016-0486-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020116409", 
              "https://doi.org/10.1007/s00366-016-0486-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-011-0523-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025269401", 
              "https://doi.org/10.1007/s00521-011-0523-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00366-015-0400-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003281017", 
              "https://doi.org/10.1007/s00366-015-0400-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-61824-1_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090239799", 
              "https://doi.org/10.1007/978-3-319-61824-1_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12517-013-0922-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030189945", 
              "https://doi.org/10.1007/s12517-013-0922-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-012-1832-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043822294", 
              "https://doi.org/10.1007/s12665-012-1832-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12517-013-1174-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038954491", 
              "https://doi.org/10.1007/s12517-013-1174-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-04843-2_49", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044080697", 
              "https://doi.org/10.1007/978-3-642-04843-2_49"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-015-2072-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023467671", 
              "https://doi.org/10.1007/s00521-015-2072-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10706-016-0093-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020271889", 
              "https://doi.org/10.1007/s10706-016-0093-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-01507-6_18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033929119", 
              "https://doi.org/10.1007/978-3-642-01507-6_18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-013-1389-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046345202", 
              "https://doi.org/10.1007/s00521-013-1389-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03326118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016097563", 
              "https://doi.org/10.1007/bf03326118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-012-0939-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004567740", 
              "https://doi.org/10.1007/s00521-012-0939-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-015-4274-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030000705", 
              "https://doi.org/10.1007/s12665-015-4274-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10898-007-9149-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049543869", 
              "https://doi.org/10.1007/s10898-007-9149-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-010-0503-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035154212", 
              "https://doi.org/10.1007/s00521-010-0503-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11771-011-0882-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017178024", 
              "https://doi.org/10.1007/s11771-011-0882-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00366-016-0447-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030807144", 
              "https://doi.org/10.1007/s00366-016-0447-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10799-011-0092-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041368087", 
              "https://doi.org/10.1007/s10799-011-0092-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12594-017-0580-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084035691", 
              "https://doi.org/10.1007/s12594-017-0580-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11721-007-0002-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033319589", 
              "https://doi.org/10.1007/s11721-007-0002-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-015-4877-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022107356", 
              "https://doi.org/10.1007/s12665-015-4877-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00366-016-0453-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013450683", 
              "https://doi.org/10.1007/s00366-016-0453-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-016-2241-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050876750", 
              "https://doi.org/10.1007/s11069-016-2241-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11460-005-0021-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025973154", 
              "https://doi.org/10.1007/s11460-005-0021-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00366-017-0528-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090348206", 
              "https://doi.org/10.1007/s00366-017-0528-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13344-011-0030-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001045555", 
              "https://doi.org/10.1007/s13344-011-0030-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11771-010-0566-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015815930", 
              "https://doi.org/10.1007/s11771-010-0566-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00521-012-1256-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053049807", 
              "https://doi.org/10.1007/s00521-012-1256-z"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-09-04", 
        "datePublishedReg": "2017-09-04", 
        "description": "Particle 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.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10706-017-0356-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136344", 
            "issn": [
              "0960-3182", 
              "1573-1529"
            ], 
            "name": "Geotechnical and Geological Engineering", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "36"
          }
        ], 
        "keywords": [
          "particle swarm optimization", 
          "geotechnical engineering", 
          "nonlinear global optimization problems", 
          "global optimization problems", 
          "conventional optimization techniques", 
          "swarm optimization", 
          "limitation of PSO", 
          "simplified social system", 
          "geotechnical engineering aspects", 
          "multi-dimensional problems", 
          "civil engineering disciplines", 
          "random solutions", 
          "underground space design", 
          "slope stability analysis", 
          "optimization problem", 
          "PSO\u2019s ability", 
          "optimization method", 
          "foundation engineering", 
          "geotechnical engineers", 
          "optimization techniques", 
          "stability analysis", 
          "soil mechanics", 
          "evolutionary computation approach", 
          "complexity of problems", 
          "PSO idea", 
          "engineering aspects", 
          "computation approach", 
          "comprehensive uncertainty", 
          "engineering disciplines", 
          "engineering", 
          "optimization", 
          "problem", 
          "comprehensive review", 
          "iteration", 
          "piles", 
          "mechanics", 
          "simulations", 
          "engineers", 
          "uncertainty", 
          "tunneling", 
          "solution", 
          "system", 
          "design", 
          "complexity", 
          "applicability", 
          "applications", 
          "advantages", 
          "space design", 
          "technique", 
          "approach", 
          "method", 
          "idea", 
          "rocks", 
          "different disciplines", 
          "social systems", 
          "limitations", 
          "analysis", 
          "disciplines", 
          "literature", 
          "ability", 
          "aspects", 
          "insights", 
          "review", 
          "years", 
          "population", 
          "choreography", 
          "birds", 
          "paper"
        ], 
        "name": "Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review", 
        "pagination": "705-722", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1091477574"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10706-017-0356-z"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10706-017-0356-z", 
          "https://app.dimensions.ai/details/publication/pub.1091477574"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-10T10:19", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_727.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10706-017-0356-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10706-017-0356-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10706-017-0356-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10706-017-0356-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10706-017-0356-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    286 TRIPLES      22 PREDICATES      128 URIs      85 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10706-017-0356-z schema:about anzsrc-for:09
    2 anzsrc-for:0914
    3 schema:author N86f9074a6b0c462fbbe841865bbac5ac
    4 schema:citation sg:pub.10.1007/978-3-319-61824-1_19
    5 sg:pub.10.1007/978-3-642-01507-6_18
    6 sg:pub.10.1007/978-3-642-04843-2_49
    7 sg:pub.10.1007/bf03326118
    8 sg:pub.10.1007/s00158-011-0694-z
    9 sg:pub.10.1007/s00366-015-0400-7
    10 sg:pub.10.1007/s00366-016-0447-0
    11 sg:pub.10.1007/s00366-016-0453-2
    12 sg:pub.10.1007/s00366-016-0486-6
    13 sg:pub.10.1007/s00366-017-0528-8
    14 sg:pub.10.1007/s00521-010-0503-4
    15 sg:pub.10.1007/s00521-011-0523-8
    16 sg:pub.10.1007/s00521-012-0939-9
    17 sg:pub.10.1007/s00521-012-1256-z
    18 sg:pub.10.1007/s00521-013-1389-8
    19 sg:pub.10.1007/s00521-015-2072-z
    20 sg:pub.10.1007/s00521-016-2728-3
    21 sg:pub.10.1007/s10064-014-0638-0
    22 sg:pub.10.1007/s10706-016-0093-8
    23 sg:pub.10.1007/s10799-011-0092-7
    24 sg:pub.10.1007/s10898-007-9149-x
    25 sg:pub.10.1007/s11069-016-2241-0
    26 sg:pub.10.1007/s11460-005-0021-9
    27 sg:pub.10.1007/s11721-007-0002-0
    28 sg:pub.10.1007/s11771-010-0566-5
    29 sg:pub.10.1007/s11771-011-0882-4
    30 sg:pub.10.1007/s12517-013-0922-5
    31 sg:pub.10.1007/s12517-013-1174-0
    32 sg:pub.10.1007/s12517-017-3043-8
    33 sg:pub.10.1007/s12594-017-0580-4
    34 sg:pub.10.1007/s12665-009-0292-1
    35 sg:pub.10.1007/s12665-012-1832-7
    36 sg:pub.10.1007/s12665-015-4274-1
    37 sg:pub.10.1007/s12665-015-4877-6
    38 sg:pub.10.1007/s13344-011-0030-9
    39 schema:datePublished 2017-09-04
    40 schema:datePublishedReg 2017-09-04
    41 schema:description Particle 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.
    42 schema:genre article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf N508d33cafee74324a91dbada6ae842d4
    46 N7544804de6124f1880aae1d1d24d76ae
    47 sg:journal.1136344
    48 schema:keywords PSO idea
    49 PSO’s ability
    50 ability
    51 advantages
    52 analysis
    53 applicability
    54 applications
    55 approach
    56 aspects
    57 birds
    58 choreography
    59 civil engineering disciplines
    60 complexity
    61 complexity of problems
    62 comprehensive review
    63 comprehensive uncertainty
    64 computation approach
    65 conventional optimization techniques
    66 design
    67 different disciplines
    68 disciplines
    69 engineering
    70 engineering aspects
    71 engineering disciplines
    72 engineers
    73 evolutionary computation approach
    74 foundation engineering
    75 geotechnical engineering
    76 geotechnical engineering aspects
    77 geotechnical engineers
    78 global optimization problems
    79 idea
    80 insights
    81 iteration
    82 limitation of PSO
    83 limitations
    84 literature
    85 mechanics
    86 method
    87 multi-dimensional problems
    88 nonlinear global optimization problems
    89 optimization
    90 optimization method
    91 optimization problem
    92 optimization techniques
    93 paper
    94 particle swarm optimization
    95 piles
    96 population
    97 problem
    98 random solutions
    99 review
    100 rocks
    101 simplified social system
    102 simulations
    103 slope stability analysis
    104 social systems
    105 soil mechanics
    106 solution
    107 space design
    108 stability analysis
    109 swarm optimization
    110 system
    111 technique
    112 tunneling
    113 uncertainty
    114 underground space design
    115 years
    116 schema:name Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review
    117 schema:pagination 705-722
    118 schema:productId N0b49abb98ca141aaa090be784f45522f
    119 Nbd36e366a44446cb97a965c0f7c97de5
    120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091477574
    121 https://doi.org/10.1007/s10706-017-0356-z
    122 schema:sdDatePublished 2022-05-10T10:19
    123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    124 schema:sdPublisher N499500e2e9ae44559beb95591a70a986
    125 schema:url https://doi.org/10.1007/s10706-017-0356-z
    126 sgo:license sg:explorer/license/
    127 sgo:sdDataset articles
    128 rdf:type schema:ScholarlyArticle
    129 N0b49abb98ca141aaa090be784f45522f schema:name doi
    130 schema:value 10.1007/s10706-017-0356-z
    131 rdf:type schema:PropertyValue
    132 N499500e2e9ae44559beb95591a70a986 schema:name Springer Nature - SN SciGraph project
    133 rdf:type schema:Organization
    134 N508d33cafee74324a91dbada6ae842d4 schema:issueNumber 2
    135 rdf:type schema:PublicationIssue
    136 N7544804de6124f1880aae1d1d24d76ae schema:volumeNumber 36
    137 rdf:type schema:PublicationVolume
    138 N86f9074a6b0c462fbbe841865bbac5ac rdf:first sg:person.01213305202.05
    139 rdf:rest Nc42f160169c64ed7a4bf73b23027200a
    140 Nb23de170f7904e6289a8622ef1f361b2 rdf:first sg:person.013345343515.56
    141 rdf:rest rdf:nil
    142 Nbd36e366a44446cb97a965c0f7c97de5 schema:name dimensions_id
    143 schema:value pub.1091477574
    144 rdf:type schema:PropertyValue
    145 Nc42f160169c64ed7a4bf73b23027200a rdf:first sg:person.012214152011.74
    146 rdf:rest Nb23de170f7904e6289a8622ef1f361b2
    147 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    148 schema:name Engineering
    149 rdf:type schema:DefinedTerm
    150 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
    151 schema:name Resources Engineering and Extractive Metallurgy
    152 rdf:type schema:DefinedTerm
    153 sg:journal.1136344 schema:issn 0960-3182
    154 1573-1529
    155 schema:name Geotechnical and Geological Engineering
    156 schema:publisher Springer Nature
    157 rdf:type schema:Periodical
    158 sg:person.01213305202.05 schema:affiliation grid-institutes:grid.412763.5
    159 schema:familyName Hajihassani
    160 schema:givenName M.
    161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213305202.05
    162 rdf:type schema:Person
    163 sg:person.012214152011.74 schema:affiliation grid-institutes:grid.411368.9
    164 schema:familyName Jahed Armaghani
    165 schema:givenName D.
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012214152011.74
    167 rdf:type schema:Person
    168 sg:person.013345343515.56 schema:affiliation grid-institutes:grid.252547.3
    169 schema:familyName Kalatehjari
    170 schema:givenName R.
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013345343515.56
    172 rdf:type schema:Person
    173 sg:pub.10.1007/978-3-319-61824-1_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090239799
    174 https://doi.org/10.1007/978-3-319-61824-1_19
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/978-3-642-01507-6_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033929119
    177 https://doi.org/10.1007/978-3-642-01507-6_18
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/978-3-642-04843-2_49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044080697
    180 https://doi.org/10.1007/978-3-642-04843-2_49
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/bf03326118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016097563
    183 https://doi.org/10.1007/bf03326118
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1007/s00158-011-0694-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1032428719
    186 https://doi.org/10.1007/s00158-011-0694-z
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1007/s00366-015-0400-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003281017
    189 https://doi.org/10.1007/s00366-015-0400-7
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/s00366-016-0447-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030807144
    192 https://doi.org/10.1007/s00366-016-0447-0
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1007/s00366-016-0453-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013450683
    195 https://doi.org/10.1007/s00366-016-0453-2
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1007/s00366-016-0486-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020116409
    198 https://doi.org/10.1007/s00366-016-0486-6
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1007/s00366-017-0528-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090348206
    201 https://doi.org/10.1007/s00366-017-0528-8
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1007/s00521-010-0503-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035154212
    204 https://doi.org/10.1007/s00521-010-0503-4
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1007/s00521-011-0523-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025269401
    207 https://doi.org/10.1007/s00521-011-0523-8
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1007/s00521-012-0939-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004567740
    210 https://doi.org/10.1007/s00521-012-0939-9
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1007/s00521-012-1256-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1053049807
    213 https://doi.org/10.1007/s00521-012-1256-z
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1007/s00521-013-1389-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046345202
    216 https://doi.org/10.1007/s00521-013-1389-8
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1007/s00521-015-2072-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023467671
    219 https://doi.org/10.1007/s00521-015-2072-z
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1007/s00521-016-2728-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015743528
    222 https://doi.org/10.1007/s00521-016-2728-3
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1007/s10064-014-0638-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012839375
    225 https://doi.org/10.1007/s10064-014-0638-0
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1007/s10706-016-0093-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020271889
    228 https://doi.org/10.1007/s10706-016-0093-8
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1007/s10799-011-0092-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041368087
    231 https://doi.org/10.1007/s10799-011-0092-7
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1007/s10898-007-9149-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049543869
    234 https://doi.org/10.1007/s10898-007-9149-x
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1007/s11069-016-2241-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050876750
    237 https://doi.org/10.1007/s11069-016-2241-0
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1007/s11460-005-0021-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025973154
    240 https://doi.org/10.1007/s11460-005-0021-9
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1007/s11721-007-0002-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033319589
    243 https://doi.org/10.1007/s11721-007-0002-0
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1007/s11771-010-0566-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015815930
    246 https://doi.org/10.1007/s11771-010-0566-5
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1007/s11771-011-0882-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017178024
    249 https://doi.org/10.1007/s11771-011-0882-4
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1007/s12517-013-0922-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030189945
    252 https://doi.org/10.1007/s12517-013-0922-5
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1007/s12517-013-1174-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038954491
    255 https://doi.org/10.1007/s12517-013-1174-0
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1007/s12517-017-3043-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085993170
    258 https://doi.org/10.1007/s12517-017-3043-8
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1007/s12594-017-0580-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084035691
    261 https://doi.org/10.1007/s12594-017-0580-4
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1007/s12665-009-0292-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017969570
    264 https://doi.org/10.1007/s12665-009-0292-1
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1007/s12665-012-1832-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043822294
    267 https://doi.org/10.1007/s12665-012-1832-7
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1007/s12665-015-4274-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030000705
    270 https://doi.org/10.1007/s12665-015-4274-1
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1007/s12665-015-4877-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022107356
    273 https://doi.org/10.1007/s12665-015-4877-6
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1007/s13344-011-0030-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001045555
    276 https://doi.org/10.1007/s13344-011-0030-9
    277 rdf:type schema:CreativeWork
    278 grid-institutes:grid.252547.3 schema:alternateName Built Environment Engineering Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 1010, Auckland, New Zealand
    279 schema:name Built Environment Engineering Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 1010, Auckland, New Zealand
    280 rdf:type schema:Organization
    281 grid-institutes:grid.411368.9 schema:alternateName Department of Civil and Environmental Engineering, Amirkabir University of Technology, 15914, Tehran, Iran
    282 schema:name Department of Civil and Environmental Engineering, Amirkabir University of Technology, 15914, Tehran, Iran
    283 rdf:type schema:Organization
    284 grid-institutes:grid.412763.5 schema:alternateName Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran
    285 schema:name Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran
    286 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...