{"id":"https://openalex.org/W2619347079","doi":"https://doi.org/10.1080/24751839.2017.1295662","title":"Empirical comparison of level-wise hierarchical multi-population genetic algorithm","display_name":"Empirical comparison of level-wise hierarchical multi-population genetic algorithm","publication_year":2017,"publication_date":"2017-01-02","ids":{"openalex":"https://openalex.org/W2619347079","doi":"https://doi.org/10.1080/24751839.2017.1295662","mag":"2619347079"},"language":"en","primary_location":{"id":"doi:10.1080/24751839.2017.1295662","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2017.1295662","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2017.1295662?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2017.1295662?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057105630","display_name":"Tzung\u2010Pei Hong","orcid":"https://orcid.org/0000-0001-7305-6492"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]},{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tzung-Pei Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101005822","display_name":"Yuan-Ching Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Ching Peng","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032504698","display_name":"Wen-Yang Lin","orcid":"https://orcid.org/0000-0003-3462-7744"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Yang Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051734633","display_name":"Shyue-Liang Wang","orcid":"https://orcid.org/0000-0001-9197-4350"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyue-Liang Wang","raw_affiliation_strings":["Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057105630"],"corresponding_institution_ids":["https://openalex.org/I142974352","https://openalex.org/I192168892"],"apc_list":{"value":925,"currency":"GBP","value_usd":1134},"apc_paid":{"value":925,"currency":"GBP","value_usd":1134},"fwci":1.1701,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83821296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":"1","first_page":"66","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9901999831199646,"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":0.9883000254631042,"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/computer-science","display_name":"Computer science","score":0.5233039855957031},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48661717772483826},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43350645899772644},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.43165016174316406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4098644554615021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30232250690460205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24532663822174072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23543182015419006},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11554256081581116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233039855957031},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48661717772483826},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43350645899772644},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.43165016174316406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4098644554615021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30232250690460205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24532663822174072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23543182015419006},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11554256081581116},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/24751839.2017.1295662","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2017.1295662","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2017.1295662?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/24751839.2017.1295662","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2017.1295662","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2017.1295662?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2619347079.pdf","grobid_xml":"https://content.openalex.org/works/W2619347079.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1529042793","https://openalex.org/W1535691782","https://openalex.org/W1541288193","https://openalex.org/W1573676079","https://openalex.org/W1659842140","https://openalex.org/W1987122345","https://openalex.org/W2032868494","https://openalex.org/W2033992696","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2081291675","https://openalex.org/W2097571405","https://openalex.org/W2112505654","https://openalex.org/W2119401655","https://openalex.org/W2134954564","https://openalex.org/W2168081761","https://openalex.org/W2543580944","https://openalex.org/W2605170521","https://openalex.org/W4292083457"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2042127053"],"abstract_inverted_index":{"Metaheuristics":[0],"have":[1],"recently":[2],"been":[3],"commonly":[4],"used":[5,15],"to":[6,21],"solve":[7],"complex":[8],"problems":[9],"in":[10,18,26],"real":[11],"applications.":[12],"Some":[13],"scholars":[14],"multiple":[16],"populations":[17],"metaheuristic":[19],"approaches":[20],"shorten":[22],"the":[23,36,58,61,74],"execution":[24,40],"time":[25],"finding":[27],"nearly":[28],"optimal":[29],"solutions.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"revisit":[35],"properties":[37],"of":[38,60],"sub-population":[39,50],"for":[41,56,63],"genetic":[42],"algorithm":[43],"(GA)":[44],"and":[45,65],"design":[46],"a":[47,79],"level-wise":[48],"hierarchical":[49,75],"architecture.":[51],"We":[52],"also":[53],"make":[54],"experiments":[55],"comparing":[57],"performance":[59],"architecture":[62,77],"unimodal":[64,88],"multimodal":[66,84],"functions.":[67],"The":[68],"experimental":[69],"results":[70],"show":[71],"that":[72],"using":[73],"GA":[76],"produces":[78],"more":[80],"significant":[81],"improvement":[82],"on":[83,87],"functions":[85],"than":[86],"ones.":[89]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}