{"id":"https://openalex.org/W2035128343","doi":"https://doi.org/10.1145/2739480.2754715","title":"Controlling Crowd Simulations using Neuro-Evolution","display_name":"Controlling Crowd Simulations using Neuro-Evolution","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2035128343","doi":"https://doi.org/10.1145/2739480.2754715","mag":"2035128343"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","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/A5033873125","display_name":"Sunrise Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I157614274","display_name":"University of Cape Town","ror":"https://ror.org/03p74gp79","country_code":"ZA","type":"education","lineage":["https://openalex.org/I157614274"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Sunrise Wang","raw_affiliation_strings":["University of Cape Town, Cape Town, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Cape Town, Cape Town, South Africa","institution_ids":["https://openalex.org/I157614274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075176191","display_name":"James Gain","orcid":"https://orcid.org/0000-0002-1699-9619"},"institutions":[{"id":"https://openalex.org/I157614274","display_name":"University of Cape Town","ror":"https://ror.org/03p74gp79","country_code":"ZA","type":"education","lineage":["https://openalex.org/I157614274"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"James Edward Gain","raw_affiliation_strings":["University of Cape Town, Cape Town, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Cape Town, Cape Town, South Africa","institution_ids":["https://openalex.org/I157614274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111712151","display_name":"Geoff Stuart Nistchke","orcid":null},"institutions":[{"id":"https://openalex.org/I157614274","display_name":"University of Cape Town","ror":"https://ror.org/03p74gp79","country_code":"ZA","type":"education","lineage":["https://openalex.org/I157614274"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Geoff Stuart Nistchke","raw_affiliation_strings":["University of Cape Town, Cape Town, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Cape Town, Cape Town, South Africa","institution_ids":["https://openalex.org/I157614274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033873125"],"corresponding_institution_ids":["https://openalex.org/I157614274"],"apc_list":null,"apc_paid":null,"fwci":0.4492,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67835133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"353","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998999834060669,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998999834060669,"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/T10524","display_name":"Traffic control and management","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8521928787231445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7306642532348633},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.6341803073883057},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.6172855496406555},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5318113565444946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531475841999054},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5285626649856567},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.5243099927902222},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5107886791229248},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.45547154545783997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43732312321662903},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4183323085308075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09297391772270203}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8521928787231445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306642532348633},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.6341803073883057},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.6172855496406555},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5318113565444946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531475841999054},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5285626649856567},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.5243099927902222},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5107886791229248},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45547154545783997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43732312321662903},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4183323085308075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09297391772270203},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739480.2754715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1605438009","https://openalex.org/W1607307504","https://openalex.org/W1680797894","https://openalex.org/W1972978214","https://openalex.org/W2000002057","https://openalex.org/W2025241491","https://openalex.org/W2077952221","https://openalex.org/W2078353783","https://openalex.org/W2100477395","https://openalex.org/W2102832719","https://openalex.org/W2111935653","https://openalex.org/W2116850952","https://openalex.org/W2128203426","https://openalex.org/W2130476529","https://openalex.org/W2132194070","https://openalex.org/W2134164581","https://openalex.org/W2141855875","https://openalex.org/W2145175424","https://openalex.org/W2147147005","https://openalex.org/W2147492008","https://openalex.org/W2150312211","https://openalex.org/W2153875226","https://openalex.org/W2158541136","https://openalex.org/W2168327438","https://openalex.org/W2171658832","https://openalex.org/W2217070951","https://openalex.org/W2234200704","https://openalex.org/W2293527364","https://openalex.org/W2294623338","https://openalex.org/W2402846924","https://openalex.org/W2911304290","https://openalex.org/W4237823019","https://openalex.org/W4301791120"],"related_works":["https://openalex.org/W2036586770","https://openalex.org/W2094931707","https://openalex.org/W2911613207","https://openalex.org/W3043995842","https://openalex.org/W2944838502","https://openalex.org/W2535198484","https://openalex.org/W2060401867","https://openalex.org/W4230189742","https://openalex.org/W2559730559","https://openalex.org/W2116954712"],"abstract_inverted_index":{"Crowd":[0],"simulations":[1,28],"have":[2],"become":[3],"increasingly":[4],"popular":[5],"in":[6,13,29,59],"films":[7,30],"over":[8],"the":[9,65,82,111,150,153],"last":[10],"decade,":[11],"appearing":[12],"large":[14],"crowd":[15,27,84,139],"shots":[16],"of":[17,68,122,137],"many":[18],"big":[19],"name":[20],"block-buster":[21],"films.":[22],"An":[23],"important":[24],"requirement":[25],"for":[26,48,103],"is":[31,91],"that":[32,146],"they":[33,55],"should":[34],"be":[35,79],"directable":[36],"both":[37],"at":[38],"a":[39,92,101,135],"high":[40,73],"and":[41,51,95,126],"low":[42],"level.":[43],"As":[44,87],"agent-based":[45],"techniques":[46],"allow":[47],"low-level":[49],"directability":[50],"more":[52],"believable":[53],"crowds,":[54],"are":[56,132],"typically":[57],"used":[58],"this":[60,98,109],"field.":[61],"However,":[62],"due":[63],"to":[64,71],"bottom-up":[66],"nature":[67],"these":[69],"techniques,":[70],"achieve":[72],"level":[74],"directability,":[75],"agent-level":[76],"parameters":[77,90],"must":[78],"adjusted":[80],"until":[81],"desired":[83],"behavior":[85],"emerges.":[86],"manually":[88],"adjusting":[89],"time":[93],"consuming":[94],"tedious":[96],"process,":[97],"paper":[99],"investigates":[100],"method":[102],"automating":[104],"this,":[105],"using":[106],"Neuro-Evolution.":[107],"To":[108],"end,":[110],"Conventional":[112],"Neuro-Evolution":[113,121],"(CNE),":[114],"Covariance":[115],"Matrix":[116],"Adaptation":[117],"Evolutionary":[118],"Strategy":[119],"(CMA-ES),":[120],"Augmenting":[123],"Topologies":[124],"(NEAT),":[125],"Enforced":[127],"Sub":[128],"Populations":[129],"(ESP)":[130],"algorithms":[131],"compared":[133],"across":[134,152],"variety":[136],"representative":[138],"simulation":[140],"scenarios.":[141],"Overall,":[142],"it":[143],"was":[144],"found":[145],"CMA-ES":[147],"generally":[148],"performs":[149],"best":[151],"selected":[154],"simulations.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}