{"id":"https://openalex.org/W1997827864","doi":"https://doi.org/10.1145/2797143.2797168","title":"Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design","display_name":"Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design","publication_year":2015,"publication_date":"2015-09-15","ids":{"openalex":"https://openalex.org/W1997827864","doi":"https://doi.org/10.1145/2797143.2797168","mag":"1997827864"},"language":"en","primary_location":{"id":"doi:10.1145/2797143.2797168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2797143.2797168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/1469569/1/EANN_PGMP%20%28submitted%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057561737","display_name":"Sam Palmer","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sam Palmer","raw_affiliation_strings":["Dept. of Computer Science, University College London, London WC1E 6BT"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University College London, London WC1E 6BT","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044634076","display_name":"Denise Gorse","orcid":"https://orcid.org/0000-0002-8178-2598"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Denise Gorse","raw_affiliation_strings":["Dept. of Computer Science, University College London, London WC1E 6BT"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University College London, London WC1E 6BT","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070587683","display_name":"Ema Muk-Pavic","orcid":"https://orcid.org/0000-0001-6365-2362"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ema Muk-Pavic","raw_affiliation_strings":["Dept. of Mechanical Engineering, University College London, London WC1E 6BT"],"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering, University College London, London WC1E 6BT","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057561737"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.464,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68529576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8766462802886963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6810485124588013},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.6107919812202454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6018331050872803},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5818862915039062},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5600371956825256},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46275660395622253},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.45546776056289673},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.44168946146965027},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4377904236316681},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4221256375312805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32061415910720825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2913816571235657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2103186845779419},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20454585552215576}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8766462802886963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6810485124588013},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.6107919812202454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6018331050872803},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5818862915039062},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5600371956825256},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46275660395622253},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.45546776056289673},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.44168946146965027},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4377904236316681},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4221256375312805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32061415910720825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2913816571235657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2103186845779419},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20454585552215576},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2797143.2797168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2797143.2797168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1469569","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1469569/","pdf_url":"https://discovery.ucl.ac.uk/1469569/1/EANN_PGMP%20%28submitted%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS).    ACM: New York. (2015)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1469569","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1469569/","pdf_url":"https://discovery.ucl.ac.uk/1469569/1/EANN_PGMP%20%28submitted%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS).    ACM: New York. (2015)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332923","display_name":"U.S. Navy","ror":"https://ror.org/03ar0mv07"},{"id":"https://openalex.org/F4320337624","display_name":"U.S. Naval Academy","ror":"https://ror.org/00znex860"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1997827864.pdf","grobid_xml":"https://content.openalex.org/works/W1997827864.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1488195205","https://openalex.org/W1490180010","https://openalex.org/W1595159159","https://openalex.org/W1979653734","https://openalex.org/W1986369746","https://openalex.org/W2060857145","https://openalex.org/W2072128103","https://openalex.org/W2108069432","https://openalex.org/W2125332715","https://openalex.org/W2131613989","https://openalex.org/W2152195021","https://openalex.org/W2291011323","https://openalex.org/W4232277209"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2161494499","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2368795850"],"abstract_inverted_index":{"Tri-SWACH":[0,71],"is":[1,8,57,60],"a":[2,12,39,48],"novel":[3],"multihull":[4],"ship":[5],"design":[6],"that":[7,46],"well":[9],"suited":[10],"to":[11,33,62,66],"wide":[13],"range":[14],"of":[15,24,42,51],"industrial,":[16],"commercial,":[17],"and":[18],"military":[19],"applications,":[20],"but":[21],"which":[22,32,80],"because":[23],"its":[25],"novelty":[26],"has":[27],"few":[28],"experimental":[29],"studies":[30],"on":[31],"base":[34],"further":[35],"development":[36],"work.":[37],"Using":[38],"new":[40],"form":[41],"particle":[43],"swarm":[44],"optimization":[45],"incorporates":[47],"strong":[49],"element":[50],"stochastic":[52],"search,":[53],"Breeding":[54],"PSO,":[55],"it":[56,59],"shown":[58],"possible":[61],"use":[63],"multilayer":[64],"nets":[65],"predict":[67],"resistance":[68],"functions":[69],"for":[70],"hullforms,":[72],"including":[73],"one":[74],"function,":[75],"the":[76],"Residual":[77],"Resistance":[78],"Coefficient,":[79],"was":[81],"found":[82],"intractable":[83],"with":[84],"previously":[85],"explored":[86],"neural":[87],"network":[88],"training":[89],"methods.":[90]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
