{"id":"https://openalex.org/W4285805325","doi":"https://doi.org/10.1145/3520304.3528912","title":"Cooperative attack-defense evolution of large-scale agents","display_name":"Cooperative attack-defense evolution of large-scale agents","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805325","doi":"https://doi.org/10.1145/3520304.3528912"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3528912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528912","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5054085447","display_name":"Guofang Wang","orcid":"https://orcid.org/0000-0003-2727-2607"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guofang Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320876","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-3555-2759"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030067518","display_name":"Wang Yao","orcid":"https://orcid.org/0000-0002-5316-1962"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yao","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101991343","display_name":"Lu Ren","orcid":"https://orcid.org/0000-0002-9155-9795"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Ren","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054085447"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.8374,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84710744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7000676393508911},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5759211182594299},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5671684145927429},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5381084680557251},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48892155289649963},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48077577352523804},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42188069224357605},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41102105379104614},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3332024812698364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14641720056533813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000676393508911},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5759211182594299},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5671684145927429},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5381084680557251},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48892155289649963},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48077577352523804},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42188069224357605},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41102105379104614},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3332024812698364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14641720056533813},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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:10.1145/3520304.3528912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528912","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1617801571","https://openalex.org/W1983321045","https://openalex.org/W2038686546","https://openalex.org/W3183269529","https://openalex.org/W4210808520","https://openalex.org/W4226211019","https://openalex.org/W6747941106"],"related_works":["https://openalex.org/W2380963126","https://openalex.org/W2160425906","https://openalex.org/W2043789664","https://openalex.org/W1596201972","https://openalex.org/W2367503426","https://openalex.org/W2805391225","https://openalex.org/W2385207382","https://openalex.org/W1544908136","https://openalex.org/W411376573","https://openalex.org/W3142082549"],"abstract_inverted_index":{"The":[0],"traditional":[1],"optimization":[2],"and":[3,32,105,133,154,160],"control":[4,50],"technologies":[5],"deal":[6],"with":[7,14],"the":[8,15,18,21,33,37,53,70,93,96,100,149,152],"dynamic":[9],"interactions":[10],"between":[11],"individuals":[12],"separately,":[13],"increase":[16,41],"in":[17],"agents'":[19],"number,":[20],"modeling":[22],"process":[23],"of":[24,35,51,74,95,102,130,156],"cooperative":[25,71],"attack-defense":[26,72,147],"problems":[27],"tends":[28],"to":[29,44,57,110,136],"be":[30],"complex,":[31],"difficulty":[34],"solving":[36],"optimal":[38],"strategy":[39],"will":[40],"significantly.":[42],"Moreover,":[43],"carry":[45],"out":[46,144],"more":[47],"accurate":[48],"real-time":[49],"agents,":[52],"state":[54],"variables":[55],"used":[56],"characterize":[58],"their":[59],"kinematics":[60],"are":[61,89,142],"usually":[62],"high-dimensional.":[63],"To":[64],"overcome":[65],"these":[66],"challenges,":[67],"we":[68,114,122],"formulate":[69],"evolution":[73],"large-scale":[75],"agents":[76],"as":[77],"a":[78,116,124],"multi-population":[79,97],"high-dimensional":[80],"stochastic":[81],"mean-field":[82],"game":[83],"(MPHD-MFG).":[84],"Numerical":[85],"methods":[86],"for":[87,145],"MPHD-MFGs":[88],"practically":[90],"non-existent,":[91],"because,":[92],"heterogeneity":[94],"model":[98,159],"increases":[99],"complexity":[101],"sequential":[103],"games,":[104],"grid-based":[106],"spatial":[107],"discretization":[108],"leads":[109],"dimension":[111],"explosion.":[112],"Thus,":[113],"propose":[115],"generative":[117],"adversarial":[118],"network-based":[119],"method,":[120],"where":[121],"use":[123],"coupled":[125],"alternating":[126],"neural":[127],"network":[128],"composed":[129],"multiple":[131,134],"generators":[132],"discriminators,":[135],"tractably":[137],"solve":[138],"MPHD-MFGs.":[139],"Simulation":[140],"experiments":[141],"carried":[143],"various":[146],"scenarios,":[148],"results":[150],"verify":[151],"feasibility":[153],"effectiveness":[155],"our":[157],"proposed":[158],"algorithm.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
