{"id":"https://openalex.org/W4385188942","doi":"https://doi.org/10.1145/3583133.3590602","title":"Performance Analysis of Hybrid Sampling and Meta-heuristics","display_name":"Performance Analysis of Hybrid Sampling and Meta-heuristics","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385188942","doi":"https://doi.org/10.1145/3583133.3590602"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590602","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583133.3590602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5013088695","display_name":"Ryan Dieter Lang","orcid":"https://orcid.org/0000-0001-5051-5414"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Ryan Dieter Lang","raw_affiliation_strings":["Computer Science Division, Stellenbosch University, Stellenbosch, South Africa"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I179311214","display_name":"Gulf University for Science & Technology","ror":"https://ror.org/04d9rzd67","country_code":"KW","type":"education","lineage":["https://openalex.org/I179311214"]},{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["KW","ZA"],"is_corresponding":false,"raw_author_name":"Andries Petrus Engelbrecht","raw_affiliation_strings":["Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait","Computer Science Division, Stellenbosch University, Stellenbosch, South Africa","Computer Science Division, Stellenbosch University, Stellenbosch, South Africa Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait"],"affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait","institution_ids":["https://openalex.org/I179311214"]},{"raw_affiliation_string":"Computer Science Division, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]},{"raw_affiliation_string":"Computer Science Division, Stellenbosch University, Stellenbosch, South Africa Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait","institution_ids":["https://openalex.org/I179311214","https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013088695"],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07755312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"499","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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":0.9990000128746033,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9825000166893005,"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":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8468246459960938},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6995692253112793},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.657031238079071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6413844227790833},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.6356428265571594},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5486926436424255},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5053956508636475},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.47889652848243713},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45680421590805054},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45424944162368774},{"id":"https://openalex.org/keywords/simple-random-sample","display_name":"Simple random sample","score":0.42093223333358765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3204910159111023},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2947764992713928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26593801379203796}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8468246459960938},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6995692253112793},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.657031238079071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413844227790833},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.6356428265571594},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5486926436424255},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5053956508636475},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.47889652848243713},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45680421590805054},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45424944162368774},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.42093223333358765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3204910159111023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2947764992713928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26593801379203796},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590602","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583133.3590602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320334105","display_name":"Center for High Performance Computing","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2017001763","https://openalex.org/W2056531506","https://openalex.org/W2084993914","https://openalex.org/W2096166399","https://openalex.org/W2121044470","https://openalex.org/W2124741347","https://openalex.org/W2315411895","https://openalex.org/W2913091258","https://openalex.org/W3006746595","https://openalex.org/W3007696876","https://openalex.org/W3135757297","https://openalex.org/W3185646173","https://openalex.org/W4205129187"],"related_works":["https://openalex.org/W2083794993","https://openalex.org/W4379115841","https://openalex.org/W1511772879","https://openalex.org/W3170750609","https://openalex.org/W2979471250","https://openalex.org/W2127898439","https://openalex.org/W2186315912","https://openalex.org/W2098397451","https://openalex.org/W2248125223","https://openalex.org/W3195664246"],"abstract_inverted_index":{"This":[0],"paper":[1,55],"investigates":[2],"the":[3,19,27,46,49,57,71,74,77,80,100,105,112,116,147,153],"effect":[4,58],"of":[5,30,48,59,86,111,146],"hybridising":[6],"sampling":[7,90,95],"algorithms":[8,91,118],"with":[9,79],"population-based":[10],"meta-heuristics.":[11],"Recent":[12],"literature":[13],"has":[14],"shown":[15],"that":[16,42,115,131],"alternatives":[17],"to":[18,25,45,120,138],"traditionally":[20],"used":[21,137],"pseudo-random":[22],"number":[23],"generators":[24],"generate":[26,139],"initial":[28,50],"population":[29],"meta-heuristics":[31,72],"can":[32,135],"improve":[33],"performance.":[34,155],"However,":[35],"most":[36],"studies":[37,56],"focus":[38],"on":[39,104],"sample":[40,78,133],"sizes":[41,134],"are":[43,97],"limited":[44],"size":[47],"populations.":[51],"In":[52],"contrast,":[53],"this":[54],"extended":[60],"random":[61],"initialisation,":[62],"which":[63],"uses":[64],"relatively":[65],"large":[66,132],"samples":[67],"and":[68,92],"then":[69],"initialises":[70],"from":[73,99],"points":[75],"in":[76],"best-found":[81],"fitness":[82],"values.":[83],"A":[84],"portfolio":[85],"three":[87,93],"meta-heuristics,":[88],"four":[89],"different":[94],"budgets":[96],"analysed":[98],"fixed":[101],"budget":[102],"perspective":[103],"BBOB":[106],"benchmark":[107],"suite.":[108],"Statistical":[109],"analysis":[110,141],"results":[113,128],"shows":[114],"hybrid":[117],"converge":[119],"better":[121],"solutions":[122],"than":[123],"their":[124],"non-hybrid":[125],"counterparts.":[126],"The":[127],"further":[129],"indicate":[130],"be":[136],"landscape":[140],"features,":[142],"ensuring":[143],"reliable":[144],"approximations":[145],"investigated":[148],"functions'":[149],"properties":[150],"without":[151],"lessening":[152],"meta-heuristics'":[154]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}