{"id":"https://openalex.org/W4390481566","doi":"https://doi.org/10.1109/ssci52147.2023.10371833","title":"XF-OPT/META: A Hyperparameter Optimization Framework Applied to the H -SPPBO Metaheuristic for the Dynamic TSP","display_name":"XF-OPT/META: A Hyperparameter Optimization Framework Applied to the H -SPPBO Metaheuristic for the Dynamic TSP","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390481566","doi":"https://doi.org/10.1109/ssci52147.2023.10371833"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371833","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5070364910","display_name":"Daniel Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I147765834","display_name":"Leipzig University of Applied Sciences","ror":"https://ror.org/03xgcq477","country_code":"DE","type":"education","lineage":["https://openalex.org/I147765834"]},{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Werner","raw_affiliation_strings":["Leipzig University,Department of Computer Science,Germany","Department of Computer Science, Leipzig University, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I147765834","https://openalex.org/I926574661"]},{"raw_affiliation_string":"Department of Computer Science, Leipzig University, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102181710","display_name":"Fatma Turna","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fatma Turna","raw_affiliation_strings":["Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108506","display_name":"Hoang Thanh Le","orcid":"https://orcid.org/0000-0003-3963-0467"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hoang Thanh Le","raw_affiliation_strings":["Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016253883","display_name":"Martin Middendorf","orcid":"https://orcid.org/0000-0002-5426-1092"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Middendorf","raw_affiliation_strings":["Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University,Swarm Intelligence and Complex Systems Group,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Department of Computer Science, Swarm Intelligence and Complex Systems Group, Leipzig University, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070364910"],"corresponding_institution_ids":["https://openalex.org/I147765834","https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26233793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1183","last_page":"1188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9977999925613403,"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/hyperparameter","display_name":"Hyperparameter","score":0.8752366304397583},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.7743690013885498},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6332098245620728},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5345888137817383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5252796411514282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070250034332275},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.45375773310661316},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4490557014942169},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3254713714122772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3231385350227356}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8752366304397583},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7743690013885498},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6332098245620728},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5345888137817383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5252796411514282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070250034332275},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.45375773310661316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4490557014942169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3254713714122772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3231385350227356},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371833","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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":29,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1519085183","https://openalex.org/W1529817821","https://openalex.org/W1598333137","https://openalex.org/W1678356000","https://openalex.org/W1810046508","https://openalex.org/W1890949457","https://openalex.org/W1910719349","https://openalex.org/W2021451086","https://openalex.org/W2056132907","https://openalex.org/W2061144551","https://openalex.org/W2097998348","https://openalex.org/W2107941094","https://openalex.org/W2116098622","https://openalex.org/W2133002845","https://openalex.org/W2146879413","https://openalex.org/W2327567064","https://openalex.org/W2573212983","https://openalex.org/W2604272474","https://openalex.org/W2613485998","https://openalex.org/W3120825780","https://openalex.org/W3129214046","https://openalex.org/W4206929105","https://openalex.org/W4211116959","https://openalex.org/W4235880014","https://openalex.org/W4246565613","https://openalex.org/W6603377405","https://openalex.org/W6674385629","https://openalex.org/W6678911119"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4286970057","https://openalex.org/W2967237190","https://openalex.org/W3028852288","https://openalex.org/W4323366554","https://openalex.org/W2405673391","https://openalex.org/W2200000192","https://openalex.org/W4382702029"],"abstract_inverted_index":{"This":[0],"paper":[1],"has":[2],"two":[3],"objectives.":[4],"Firstly,":[5],"to":[6,45,60,72,92,96,113],"introduce":[7],"a":[8,133,143],"new":[9],"framework":[10,22,89],"XF":[11,87],"-OPTIMETA":[12,88],"for":[13,64,81,105,118,147],"testing":[14],"and":[15,48,112],"comparing":[16],"Hyperparameter":[17],"Optimization":[18,38,102],"(HPO)":[19],"methods.":[20],"The":[21,68],"supports":[23],"model-free":[24],"methods,":[25,34],"e.g.,":[26],"Random":[27],"Search":[28],"(RS),":[29],"as":[30,32,36],"well":[31],"model-based":[33],"such":[35],"Bayesian":[37],"(BO),":[39],"with":[40,137],"various":[41,78],"surrogate":[42],"models.":[43],"Due":[44],"the":[46,52,75,86,97,106,125],"generalized":[47],"modular":[49],"structure":[50],"of":[51,77],"XF-OPTIMETA":[53],"framework,":[54],"it":[55],"can":[56],"be":[57],"easily":[58],"extended":[59],"other":[61],"optimization":[62,66],"methods":[63,80,95],"dif-ferent":[65],"problems.":[67],"second":[69],"objective":[70],"is":[71,90],"empir-ically":[73],"compare":[74],"performance":[76],"HPO":[79,94],"population-based":[82],"metaheuristics.":[83],"For":[84],"that":[85],"used":[91],"apply":[93],"Hierarchical":[98],"Simple":[99],"Probabilistic":[100],"Population-Based":[101],"(H-SPPBO)":[103],"metaheuristic":[104],"Dynamic":[107],"Traveling":[108],"Salesperson":[109],"Problem":[110],"(DTSP)":[111],"calculate":[114],"high-performing":[115],"parameter":[116,126,134,145],"values":[117,127],"H-SPPBO.":[119],"Promising":[120],"results":[121],"are":[122],"obtained":[123,136],"using":[124],"found":[128],"by":[129],"BO.":[130],"In":[131],"particular,":[132],"set":[135,146],"Gradient-Boosted":[138],"Regression":[139],"Trees":[140],"(GBRT)":[141],"outperforms":[142],"reference":[144],"H-SPPBO":[148],"from":[149],"an":[150],"existing":[151],"study.":[152]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
