{"id":"https://openalex.org/W3084189865","doi":"https://doi.org/10.1109/hpcs48598.2019.9188208","title":"Surrogate Modelling for Efficient Discovery of Emergent Population Dynamics","display_name":"Surrogate Modelling for Efficient Discovery of Emergent Population Dynamics","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3084189865","doi":"https://doi.org/10.1109/hpcs48598.2019.9188208","mag":"3084189865"},"language":"en","primary_location":{"id":"doi:10.1109/hpcs48598.2019.9188208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081454678","display_name":"James Pyle","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"James Pyle","raw_affiliation_strings":["Department of Computer Science, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084786722","display_name":"Mozhgan Kabiri Chimeh","orcid":"https://orcid.org/0000-0002-2561-7926"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mozhgan Kabiri Chimeh","raw_affiliation_strings":["Department of Computer Science, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011413276","display_name":"Paul Richmond","orcid":"https://orcid.org/0000-0002-4657-5518"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Richmond","raw_affiliation_strings":["Department of Computer Science, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081454678"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24304511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"246","issue":null,"first_page":"99","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611343860626221},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5743621587753296},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5534895062446594},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5382954478263855},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5267524123191833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4903697967529297},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45084384083747864},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4297296702861786},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32667678594589233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32097676396369934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2694191038608551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08815598487854004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611343860626221},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5743621587753296},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5534895062446594},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5382954478263855},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5267524123191833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4903697967529297},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45084384083747864},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4297296702861786},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32667678594589233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32097676396369934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2694191038608551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08815598487854004},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcs48598.2019.9188208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs48598.2019.9188208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[{"id":"https://openalex.org/G2309032329","display_name":null,"funder_award_id":"EP/N018869/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W9730082","https://openalex.org/W1496027058","https://openalex.org/W1574388664","https://openalex.org/W1597041602","https://openalex.org/W1968535060","https://openalex.org/W2017278890","https://openalex.org/W2065582221","https://openalex.org/W2107651715","https://openalex.org/W2125857415","https://openalex.org/W2180748755","https://openalex.org/W2338463305","https://openalex.org/W2419109832","https://openalex.org/W2542197606","https://openalex.org/W2582984410","https://openalex.org/W2604765399","https://openalex.org/W2756268336","https://openalex.org/W2807369386","https://openalex.org/W2899356881","https://openalex.org/W6600390518","https://openalex.org/W6634467909","https://openalex.org/W6752174979"],"related_works":["https://openalex.org/W2912622974","https://openalex.org/W2621058457","https://openalex.org/W1984204070","https://openalex.org/W2987087830","https://openalex.org/W4386421932","https://openalex.org/W4304185466","https://openalex.org/W2740350000","https://openalex.org/W2021705664","https://openalex.org/W2953306542","https://openalex.org/W2025967929"],"abstract_inverted_index":{"Outcomes":[0],"of":[1,73,76,91,118,162,171,175,191,201],"simulating":[2],"complex":[3],"systems":[4],"models,":[5],"such":[6,21],"as":[7,22,28],"emergent":[8],"properties":[9],"and":[10,160],"desirable":[11],"system":[12],"level":[13],"behaviours,":[14],"can":[15,56,64,95,178],"be":[16,57,65,96,179],"discovered":[17],"via":[18,115],"heuristic":[19],"techniques":[20],"Genetic":[23],"Algorithms":[24],"(GAs).":[25],"Using":[26,128],"simulation":[27,37,61,114,121,137,150,172,202],"the":[29,44,87,139,146,155,189,192,198],"cost":[30,159,200],"function":[31],"evaluation":[32],"for":[33,135],"a":[34,74,99,106,125,129,204],"GA":[35,45,103,193],"(i.e.":[36],"guided":[38,62,151],"search)":[39],"is":[40,184],"computationally":[41],"expensive.":[42],"Additionally":[43],"search":[46,63,104,152,194],"process":[47,195],"may":[48],"require":[49],"many":[50],"generations":[51],"before":[52],"high":[53,67,77,92],"quality":[54,78,93,161,177],"solutions":[55,94],"discovered.":[58],"As":[59],"such,":[60],"considered":[66],"latency":[68,190],"with":[69,149],"respect":[70],"to":[71,89,112,153,187,203,210],"discovery":[72,90],"range":[75],"solutions.":[79],"In":[80],"this":[81],"paper":[82],"we":[83,143],"experimentally":[84],"demonstrate":[85],"that":[86,167],"time":[88],"reduced":[97],"through":[98],"low":[100],"latency,":[101],"hybrid":[102,147,182],"using":[105],"machine":[107],"learning":[108],"surrogate":[109,212],"model":[110,133],"trained":[111],"approximate":[113],"large":[116],"amounts":[117],"batched":[119],"parallel":[120,206],"data":[122],"generated":[123],"in":[124],"HPC":[126],"environment.":[127],"common":[130],"population":[131],"dynamics":[132],"optimised":[134],"GPU":[136,141],"by":[138,196],"FLAME":[140],"framework,":[142],"directly":[144],"compare":[145],"approach":[148,183],"understand":[154],"relationship":[156],"between":[157],"computational":[158,199],"prediction.":[163],"Our":[164],"results":[165,174],"indicate":[166],"given":[168],"equivalent":[169,176],"levels":[170],"investment,":[173],"obtained.":[180],"The":[181],"however":[185],"able":[186],"reduce":[188],"shifting":[197],"highly":[205],"pre-search":[207],"step":[208],"used":[209],"train":[211],"models.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}