{"id":"https://openalex.org/W2881236744","doi":"https://doi.org/10.1145/3205651.3205660","title":"Exploratory landscape analysis using algorithm based sampling","display_name":"Exploratory landscape analysis using algorithm based sampling","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2881236744","doi":"https://doi.org/10.1145/3205651.3205660","mag":"2881236744"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3205660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205660","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":"conference-paper","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/A5070967675","display_name":"Yaodong He","orcid":"https://orcid.org/0000-0002-2364-746X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yaodong He","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091162383","display_name":"Shiu Yin Yuen","orcid":"https://orcid.org/0000-0002-5889-8808"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiu Yin Yuen","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074413224","display_name":"Yang Lou","orcid":"https://orcid.org/0000-0002-8839-8898"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Lou","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9545999765396118,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9545999765396118,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9139999747276306,"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/sampling","display_name":"Sampling (signal processing)","score":0.7313331961631775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050967812538147},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.5279316902160645},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5018820762634277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678640365600586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4236012399196625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42162394523620605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3653998374938965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35926932096481323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10843515396118164},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.08532148599624634}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7313331961631775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050967812538147},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.5279316902160645},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5018820762634277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678640365600586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4236012399196625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42162394523620605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3653998374938965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35926932096481323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10843515396118164},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.08532148599624634},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3205660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205660","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W243319620","https://openalex.org/W2287543196"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489"],"abstract_inverted_index":{"Exploratory":[0],"landscape":[1,19,70,77,87,102,107],"analysis":[2,20],"techniques":[3],"are":[4,21,73,82],"widely":[5],"used":[6],"methods":[7,16],"for":[8,17,28],"the":[9,30,33,42,45,63,85,99,105],"algorithm":[10,56,75,100],"selection":[11],"problem.":[12],"The":[13,79,94],"existing":[14],"sampling":[15,47,52,64],"exploratory":[18],"usually":[22],"designed":[23],"to":[24],"sample":[25],"unbiased":[26,46],"candidates":[27],"measuring":[29],"characteristics":[31],"of":[32,44],"entire":[34],"search":[35],"space.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,66],"discuss":[41],"limitation":[43],"and":[48,58,91],"propose":[49,67],"a":[50],"novel":[51,69],"method,":[53,65],"which":[54,72],"is":[55],"based":[57,76,101],"thus":[59],"biased.":[60],"Based":[61],"on":[62],"several":[68],"features":[71,81,88,103],"called":[74],"features.":[78,108],"proposed":[80],"compared":[83],"with":[84],"conventional":[86,106],"using":[89],"supervised":[90],"unsupervised":[92],"learning.":[93],"experimental":[95],"results":[96],"show":[97],"that":[98],"outperform":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
