{"id":"https://openalex.org/W2702998800","doi":"https://doi.org/10.1145/3067695.3082054","title":"Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems","display_name":"Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems","publication_year":2017,"publication_date":"2017-07-11","ids":{"openalex":"https://openalex.org/W2702998800","doi":"https://doi.org/10.1145/3067695.3082054","mag":"2702998800"},"language":"en","primary_location":{"id":"doi:10.1145/3067695.3082054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3082054","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/A5062957234","display_name":"Fan Xue","orcid":"https://orcid.org/0000-0003-2217-3693"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fan Xue","raw_affiliation_strings":["The University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002153093","display_name":"Qiping Shen","orcid":"https://orcid.org/0000-0002-3111-2019"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Geoffrey Q Shen","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2896,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49401353,"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":"1157","last_page":"1162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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/T11106","display_name":"Data Management and Algorithms","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cma-es","display_name":"CMA-ES","score":0.8204782009124756},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.7768908739089966},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6870893239974976},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.62800133228302},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5590679049491882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393877029418945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5214147567749023},{"id":"https://openalex.org/keywords/extremal-optimization","display_name":"Extremal optimization","score":0.48533931374549866},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.44493523240089417},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4313596189022064},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.4094778895378113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3466942310333252},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.2699906826019287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24891161918640137},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.11995270848274231}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.8204782009124756},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.7768908739089966},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6870893239974976},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.62800133228302},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5590679049491882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393877029418945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5214147567749023},{"id":"https://openalex.org/C188919014","wikidata":"https://www.wikidata.org/wiki/Q5422296","display_name":"Extremal optimization","level":4,"score":0.48533931374549866},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.44493523240089417},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4313596189022064},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.4094778895378113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3466942310333252},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2699906826019287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24891161918640137},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.11995270848274231}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3067695.3082054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3082054","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"},{"id":"pmh:oai:hub.hku.hk:10722/241820","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/241820","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/74228","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/74228","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W93737390","https://openalex.org/W134271320","https://openalex.org/W140728773","https://openalex.org/W181733065","https://openalex.org/W1507638523","https://openalex.org/W1668207500","https://openalex.org/W1829921621","https://openalex.org/W1964734388","https://openalex.org/W1986699557","https://openalex.org/W1991323175","https://openalex.org/W2002731955","https://openalex.org/W2010334716","https://openalex.org/W2027293986","https://openalex.org/W2063180182","https://openalex.org/W2108020239","https://openalex.org/W2115328185","https://openalex.org/W2131422526","https://openalex.org/W2138537392","https://openalex.org/W2147148915","https://openalex.org/W2151554678","https://openalex.org/W2160960847","https://openalex.org/W2208154600","https://openalex.org/W2286375206","https://openalex.org/W2291967177","https://openalex.org/W2734786988"],"related_works":["https://openalex.org/W1492325323","https://openalex.org/W1579744901","https://openalex.org/W2510724351","https://openalex.org/W3087341323","https://openalex.org/W2465356436","https://openalex.org/W2552260697","https://openalex.org/W2078076985","https://openalex.org/W2592891920","https://openalex.org/W2702998800","https://openalex.org/W2054195159"],"abstract_inverted_index":{"We":[0,56],"present":[1],"a":[2,17,99],"hyper-heuristic":[3,101],"algorithm":[4,12],"for":[5,16,52],"solving":[6],"combinatorial":[7],"black-box":[8],"optimization":[9],"problems.":[10],"The":[11,33],"named":[13],"CMA-VNS":[14,43,97],"stands":[15],"hybrid":[18],"of":[19,21,40,42,50,69,82],"variants":[20,41],"Covariance":[22],"Matrix":[23],"Adaptation":[24],"Evolution":[25],"Strategy":[26],"(CMA-ES)":[27],"and":[28,36,66,79,85],"Variable":[29],"Neighborhood":[30],"Search":[31],"(VNS).":[32],"framework":[34],"design":[35,38],"the":[37,48,58,62,67,75,80,83,86],"profiles":[39],"are":[44],"introduced":[45],"to":[46],"enhance":[47],"intensification":[49],"searching":[51],"conventional":[53],"CMA-ES":[54],"solvers.":[55],"explain":[57],"parameter":[59],"configuration":[60],"details,":[61],"heuristic":[63],"profile":[64],"selection,":[65],"rationale":[68],"incorporating":[70],"machine":[71],"learning":[72],"methods":[73],"during":[74],"study.":[76],"Experimental":[77],"tests":[78],"results":[81],"first":[84],"second":[87],"Combinatorial":[88],"Black-Box":[89],"Optimization":[90],"Competitions":[91],"(CB-BOC":[92],"2015,":[93],"2016)":[94],"confirmed":[95],"that":[96],"is":[98],"competitive":[100],"algorithm.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-06-30T00:00:00"}