{"id":"https://openalex.org/W3172837547","doi":"https://doi.org/10.1145/3530821","title":"Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation","display_name":"Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W3172837547","doi":"https://doi.org/10.1145/3530821","mag":"3172837547"},"language":"en","primary_location":{"id":"doi:10.1145/3530821","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3530821","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3530821","source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3530821","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065955478","display_name":"H. David Mathias","orcid":"https://orcid.org/0000-0001-8521-6705"},"institutions":[{"id":"https://openalex.org/I4657992","display_name":"University of Wisconsin\u2013La Crosse","ror":"https://ror.org/00x8ccz20","country_code":"US","type":"education","lineage":["https://openalex.org/I4657992"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. David Mathias","raw_affiliation_strings":["University of Wisconsin\u2014La Crosse, La Crosse, WI, USA"],"raw_orcid":"https://orcid.org/0000-0001-8521-6705","affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2014La Crosse, La Crosse, WI, USA","institution_ids":["https://openalex.org/I4657992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108362177","display_name":"Annie S. Wu","orcid":"https://orcid.org/0000-0002-1611-6759"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Annie S. Wu","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-1611-6759","affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033312358","display_name":"Daniel Dang","orcid":"https://orcid.org/0000-0001-6983-5506"},"institutions":[{"id":"https://openalex.org/I138943879","display_name":"Whitman College","ror":"https://ror.org/05axv8155","country_code":"US","type":"education","lineage":["https://openalex.org/I138943879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Dang","raw_affiliation_strings":["Whitman College, Walla Walla, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6983-5506","affiliations":[{"raw_affiliation_string":"Whitman College, Walla Walla, WA, USA","institution_ids":["https://openalex.org/I138943879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065955478"],"corresponding_institution_ids":["https://openalex.org/I4657992"],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50890548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"2","issue":"2","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9969000220298767,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9969000220298767,"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":0.9959999918937683,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/swarm-behaviour","display_name":"Swarm behaviour","score":0.747096061706543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918542385101318},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6882791519165039},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6617617607116699},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4876071512699127},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4659823775291443},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.43022823333740234},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41618847846984863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26814305782318115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23749592900276184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1874493956565857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16818678379058838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07767531275749207}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.747096061706543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918542385101318},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6882791519165039},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6617617607116699},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4876071512699127},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4659823775291443},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.43022823333740234},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41618847846984863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26814305782318115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23749592900276184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1874493956565857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16818678379058838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07767531275749207},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3530821","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3530821","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3530821","source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3530821","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3530821","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3530821","source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":104,"referenced_works":["https://openalex.org/W26772505","https://openalex.org/W154387682","https://openalex.org/W172358947","https://openalex.org/W188476759","https://openalex.org/W237105564","https://openalex.org/W1485788947","https://openalex.org/W1486023352","https://openalex.org/W1512917226","https://openalex.org/W1523375639","https://openalex.org/W1587920257","https://openalex.org/W1588459362","https://openalex.org/W1636971382","https://openalex.org/W1648525405","https://openalex.org/W1963555192","https://openalex.org/W1967255713","https://openalex.org/W1969947483","https://openalex.org/W1976953129","https://openalex.org/W1979742679","https://openalex.org/W1980022140","https://openalex.org/W1985311200","https://openalex.org/W1986265810","https://openalex.org/W1995226914","https://openalex.org/W1999622377","https://openalex.org/W2003668616","https://openalex.org/W2003837011","https://openalex.org/W2018375997","https://openalex.org/W2019396137","https://openalex.org/W2019714294","https://openalex.org/W2025323500","https://openalex.org/W2033680276","https://openalex.org/W2054511209","https://openalex.org/W2054746042","https://openalex.org/W2072683130","https://openalex.org/W2079844334","https://openalex.org/W2080077563","https://openalex.org/W2086864525","https://openalex.org/W2089077607","https://openalex.org/W2089999063","https://openalex.org/W2093840565","https://openalex.org/W2098564776","https://openalex.org/W2109042184","https://openalex.org/W2109891054","https://openalex.org/W2114027706","https://openalex.org/W2117910558","https://openalex.org/W2117927893","https://openalex.org/W2120053925","https://openalex.org/W2121886896","https://openalex.org/W2125002041","https://openalex.org/W2126105956","https://openalex.org/W2131278890","https://openalex.org/W2131962808","https://openalex.org/W2136901392","https://openalex.org/W2139610651","https://openalex.org/W2146086377","https://openalex.org/W2146992348","https://openalex.org/W2149106415","https://openalex.org/W2154315333","https://openalex.org/W2154718404","https://openalex.org/W2158859356","https://openalex.org/W2165934002","https://openalex.org/W2167266355","https://openalex.org/W2167808548","https://openalex.org/W2175636130","https://openalex.org/W2183829215","https://openalex.org/W2191924574","https://openalex.org/W2269884838","https://openalex.org/W2270784458","https://openalex.org/W2313300044","https://openalex.org/W2318967803","https://openalex.org/W2343765183","https://openalex.org/W2364976779","https://openalex.org/W2539402368","https://openalex.org/W2593393097","https://openalex.org/W2620681167","https://openalex.org/W2622408375","https://openalex.org/W2729519488","https://openalex.org/W2731857989","https://openalex.org/W2752335483","https://openalex.org/W2795242006","https://openalex.org/W2798384337","https://openalex.org/W2798535446","https://openalex.org/W2805513397","https://openalex.org/W2806773612","https://openalex.org/W2810346982","https://openalex.org/W2885210254","https://openalex.org/W2900592066","https://openalex.org/W2900925186","https://openalex.org/W2911423813","https://openalex.org/W2962869735","https://openalex.org/W2962925529","https://openalex.org/W3004042307","https://openalex.org/W3009724237","https://openalex.org/W3011279543","https://openalex.org/W3015712234","https://openalex.org/W3033867302","https://openalex.org/W3037071851","https://openalex.org/W3093494131","https://openalex.org/W3098727992","https://openalex.org/W3100717233","https://openalex.org/W3102059210","https://openalex.org/W3142707146","https://openalex.org/W4298110920","https://openalex.org/W4321359614","https://openalex.org/W4376562541"],"related_works":["https://openalex.org/W1601689643","https://openalex.org/W2028175972","https://openalex.org/W3095143121","https://openalex.org/W4210474939","https://openalex.org/W58882117","https://openalex.org/W3175773280","https://openalex.org/W2491247131","https://openalex.org/W2111857118","https://openalex.org/W4311367510","https://openalex.org/W2392885278"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,79],"investigate":[4],"the":[5,13,95,110,133,146,170,180],"application":[6],"of":[7,15,71,153,167],"a":[8,19,26,35,69,130,184,193],"multi-objective":[9,27],"genetic":[10,28],"algorithm":[11,29],"to":[12,30,89,97,105,116,174,189],"problem":[14,73,86,92,103,142],"task":[16,41,154],"allocation":[17,42],"in":[18,39,136,163,192],"self-organizing,":[20],"decentralized,":[21],"threshold-based":[22],"swarm.":[23],"We":[24,49,108],"use":[25],"evolve":[31,98],"response":[32,134],"thresholds":[33,53,59,62,82,100,135],"for":[34,84,101],"simulated":[36],"swarm":[37,171,185],"engaged":[38],"dynamic":[40,61,188,194],"problems:":[43],"two-dimensional":[44],"and":[45,60,122,165],"three-dimensional":[46],"collective":[47],"tracking.":[48],"show":[50,123],"that":[51,81,112,124,156,183],"evolved":[52,83],"not":[54],"only":[55],"outperform":[56],"uniformly":[57],"distributed":[58],"but":[63],"achieve":[64,175],"nearly":[65,176],"optimal":[66,177],"performance":[67],"on":[68],"variety":[70],"tracking":[72],"instances":[74,87,121,143],"(target":[75],"paths).":[76],"More":[77],"importantly,":[78],"demonstrate":[80],"some":[85],"generalize":[88],"all":[90],"other":[91],"instances,":[93],"eliminating":[94],"need":[96],"new":[99],"each":[102],"instance":[104],"be":[106,187],"solved.":[107],"analyze":[109],"properties":[111],"allow":[113],"these":[114],"paths":[115],"serve":[117],"as":[118],"universal":[119],"training":[120],"they":[125],"are":[126,139,148],"quite":[127],"natural.":[128],"After":[129],"priori":[131],"evolution,":[132],"our":[137],"system":[138],"static.":[140],"The":[141],"solved":[144],"by":[145],"swarms":[147],"highly":[149],"dynamic,":[150],"with":[151,160],"schedules":[152],"demands":[155],"change":[157],"over":[158],"time":[159],"significant":[161],"differences":[162],"rate":[164],"magnitude":[166],"change.":[168],"That":[169],"is":[172],"able":[173],"results":[178],"refutes":[179],"common":[181],"assumption":[182],"must":[186],"perform":[190],"well":[191],"environment.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}