{"id":"https://openalex.org/W2968026666","doi":"https://doi.org/10.1109/cec.2019.8789997","title":"Do general Genetic Algorithms provide benefits when solving real problems?","display_name":"Do general Genetic Algorithms provide benefits when solving real problems?","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968026666","doi":"https://doi.org/10.1109/cec.2019.8789997","mag":"2968026666"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8789997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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/A5009853286","display_name":"Przemyslaw Grudniewski","orcid":"https://orcid.org/0000-0003-0635-3125"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Przemyslaw A. Grudniewski","raw_affiliation_strings":["Fluid Structure Interactions Group, University of Southampton, Southampton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluid Structure Interactions Group, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039702362","display_name":"A.J. Sobey","orcid":"https://orcid.org/0000-0001-6880-8338"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adam J. Sobey","raw_affiliation_strings":["Fluid Structure Interactions Group, University of Southampton, Southampton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluid Structure Interactions Group, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.38975152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":null,"first_page":"1822","last_page":"1829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9970999956130981,"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/benchmarking","display_name":"Benchmarking","score":0.814662516117096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7634961605072021},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.7284260392189026},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.632146418094635},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6171985864639282},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.542761504650116},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5214639902114868},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5205015540122986},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46173226833343506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4573386013507843},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3363506495952606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3188980221748352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15795353055000305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06354638934135437}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.814662516117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634961605072021},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.7284260392189026},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.632146418094635},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6171985864639282},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.542761504650116},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5214639902114868},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5205015540122986},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46173226833343506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4573386013507843},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3363506495952606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3188980221748352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15795353055000305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06354638934135437},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2019.8789997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:434203","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/434203/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"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 or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W266356650","https://openalex.org/W2020320008","https://openalex.org/W2023343291","https://openalex.org/W2031713490","https://openalex.org/W2042877132","https://openalex.org/W2050914643","https://openalex.org/W2053479474","https://openalex.org/W2058142975","https://openalex.org/W2085507535","https://openalex.org/W2087376002","https://openalex.org/W2126105956","https://openalex.org/W2136562297","https://openalex.org/W2143185749","https://openalex.org/W2143291553","https://openalex.org/W2143381319","https://openalex.org/W2147573707","https://openalex.org/W2165831857","https://openalex.org/W2273425115","https://openalex.org/W2283815454","https://openalex.org/W2343489328","https://openalex.org/W2344331011","https://openalex.org/W2432516117","https://openalex.org/W2508723547","https://openalex.org/W2623085198","https://openalex.org/W2810173698","https://openalex.org/W2891338205","https://openalex.org/W2892246828","https://openalex.org/W2913381769","https://openalex.org/W2916083864","https://openalex.org/W2962947982","https://openalex.org/W6717764351","https://openalex.org/W6746464173"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W2001981202"],"abstract_inverted_index":{"There":[0],"is":[1,18,63,89,138,152,190],"a":[2,23,52,82,92,110,118,164],"vibrant":[3],"community":[4],"devoted":[5],"to":[6,38,109,141,159,198],"developing":[7],"novel":[8],"Genetic":[9,115],"Algorithms":[10,116],"each":[11],"year.":[12],"The":[13,172],"effectiveness":[14],"of":[15,26,56,81,95,120,134,148,163,166,205],"these":[16,124,149],"algorithms":[17],"normally":[19],"evaluated":[20],"based":[21],"upon":[22],"selected":[24],"set":[25,119],"artificial":[27],"functions":[28],"self-selected":[29],"by":[30,91,103,127],"the":[31,40,60,77,87,113,132,135,146,161,176,182,203],"same":[32],"community.":[33],"These":[34],"sets":[35],"are":[36,101],"generated":[37],"reduce":[39],"complexity":[41],"seen":[42],"in":[43,51,112,212],"real":[44],"applications":[45],"so":[46,58,66],"they":[47],"can":[48,70],"be":[49,71,196,210],"run":[50],"computationally":[53],"short":[54],"period":[55],"time,":[57],"that":[59,67,175,192],"final":[61],"answer":[62],"known":[64],"and":[65,79,97,168,186,202,214],"certain":[68],"characteristics":[69],"isolated,":[72],"giving":[73],"more":[74,193],"information":[75],"about":[76],"strengths":[78],"weaknesses":[80],"given":[83,197],"methodology.":[84],"In":[85,143],"particular,":[86],"literature":[88],"dominated":[90,102,126],"wide":[93],"range":[94],"continuous":[96],"unconstrained":[98],"problems,":[99,125],"which":[100],"only":[104],"one":[105],"characteristic.":[106],"This":[107],"leads":[108],"bias":[111],"current":[114,136],"towards":[117],"specialist":[121,150,167],"solvers":[122,151,200],"for":[123],"convergence":[128],"enhancing":[129],"mechanisms,":[130],"as":[131],"success":[133,147],"state-of-the-art":[137],"directly":[139],"linked":[140],"them.":[142],"this":[144],"paper,":[145],"determined":[153],"on":[154,181],"two":[155],"different":[156,219],"engineering":[157,183],"problems":[158,184,208,216],"verify":[160],"performance":[162,180],"number":[165],"general":[169,199],"genetic":[170],"algorithms.":[171],"results":[173],"show":[174],"general-solvers":[177],"exhibit":[178],"better":[179],"with":[185,217],"without":[187],"constraints.":[188],"It":[189],"concluded":[191],"emphasis":[194],"should":[195,209],"development":[201,204],"new":[206],"benchmarking":[207],"broader":[211],"scope":[213],"contain":[215],"many":[218],"characteristics.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}