{"id":"https://openalex.org/W2913975566","doi":"https://doi.org/10.1109/access.2019.2894726","title":"A Novel Double-Strand DNA Genetic Algorithm for Multi-Objective Optimization","display_name":"A Novel Double-Strand DNA Genetic Algorithm for Multi-Objective Optimization","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2913975566","doi":"https://doi.org/10.1109/access.2019.2894726","mag":"2913975566"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2894726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625539.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625539.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029006172","display_name":"Wenke Zang","orcid":"https://orcid.org/0000-0002-4899-6316"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenke Zang","raw_affiliation_strings":["Business School, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637027","display_name":"Weining Zhang","orcid":"https://orcid.org/0000-0002-6642-8822"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weining Zhang","raw_affiliation_strings":["Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396241","display_name":"Zehua Wang","orcid":"https://orcid.org/0000-0002-5628-0406"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Wang","raw_affiliation_strings":["Business School, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103244554","display_name":"Dong Jiang","orcid":"https://orcid.org/0000-0001-5833-241X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Jiang","raw_affiliation_strings":["Business School, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040643591","display_name":"Xiyu Liu","orcid":"https://orcid.org/0000-0003-4976-9227"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyu Liu","raw_affiliation_strings":["Business School, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013114634","display_name":"Minghe Sun","orcid":"https://orcid.org/0000-0001-8503-9761"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghe Sun","raw_affiliation_strings":["College of Business, The University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"College of Business, The University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029006172"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9998,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77657571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"18821","last_page":"18839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983999729156494,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9860000014305115,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7383530139923096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019004821777344},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6792094707489014},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6301578879356384},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5817672610282898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5239025354385376},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5177125930786133},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5144751071929932},{"id":"https://openalex.org/keywords/dna-computing","display_name":"DNA computing","score":0.5048056840896606},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4715067446231842},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42763853073120117},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4170120358467102},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.41349220275878906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21333974599838257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2054998278617859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19589626789093018},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.0874575674533844}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7383530139923096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019004821777344},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6792094707489014},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6301578879356384},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5817672610282898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5239025354385376},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5177125930786133},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5144751071929932},{"id":"https://openalex.org/C82047324","wikidata":"https://www.wikidata.org/wiki/Q177126","display_name":"DNA computing","level":3,"score":0.5048056840896606},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4715067446231842},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42763853073120117},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4170120358467102},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.41349220275878906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21333974599838257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2054998278617859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19589626789093018},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.0874575674533844},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2894726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625539.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45e8c6109d06429ca0fdd9ad838efeed","is_oa":true,"landing_page_url":"https://doaj.org/article/45e8c6109d06429ca0fdd9ad838efeed","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 18821-18839 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2894726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08625539.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1017927945","display_name":null,"funder_award_id":"61402266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1930769405","display_name":"EAGER: An Exploratory Study of Multi-Hazard Management through Multi-Source Integration of Physical and Social Sensors","funder_award_id":"1402266","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4713543433","display_name":null,"funder_award_id":"61402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5820363563","display_name":null,"funder_award_id":"6140226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8044945775","display_name":null,"funder_award_id":"201201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8564552209","display_name":null,"funder_award_id":"61472231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310677","display_name":"University of Texas at San Antonio","ror":"https://ror.org/01kd65564"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913975566.pdf","grobid_xml":"https://content.openalex.org/works/W2913975566.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W319584524","https://openalex.org/W1158789509","https://openalex.org/W1532399581","https://openalex.org/W1542437639","https://openalex.org/W1584905179","https://openalex.org/W1606791384","https://openalex.org/W1659842140","https://openalex.org/W1879678483","https://openalex.org/W1977014844","https://openalex.org/W1977312644","https://openalex.org/W1995719137","https://openalex.org/W1999218527","https://openalex.org/W2014719325","https://openalex.org/W2018111489","https://openalex.org/W2021822173","https://openalex.org/W2036737894","https://openalex.org/W2041583705","https://openalex.org/W2053900989","https://openalex.org/W2065997795","https://openalex.org/W2084129848","https://openalex.org/W2095266828","https://openalex.org/W2126105956","https://openalex.org/W2126466006","https://openalex.org/W2140066605","https://openalex.org/W2150046657","https://openalex.org/W2150923807","https://openalex.org/W2152551290","https://openalex.org/W2161392888","https://openalex.org/W2345047532","https://openalex.org/W2498860317","https://openalex.org/W2515785240","https://openalex.org/W2522562629","https://openalex.org/W2547014475","https://openalex.org/W2560634206","https://openalex.org/W2576886106","https://openalex.org/W2622639667","https://openalex.org/W2733814483","https://openalex.org/W2741340870","https://openalex.org/W2746424315","https://openalex.org/W2766499349","https://openalex.org/W2766798160","https://openalex.org/W2883431723","https://openalex.org/W6632410151","https://openalex.org/W6636219764"],"related_works":["https://openalex.org/W2751605210","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2391924736","https://openalex.org/W3133779647"],"abstract_inverted_index":{"Multi-objective":[0],"optimization":[1,16],"is":[2],"important":[3],"for":[4,14],"many":[5],"businesses,":[6],"science,":[7],"and":[8,51,77],"engineering":[9],"applications.":[10],"Existing":[11],"evolutionary":[12,94],"algorithms":[13,95],"multi-objective":[15],"problems":[17],"based":[18],"on":[19,96],"single":[20],"chain":[21],"encoding":[22],"still":[23],"have":[24],"difficulties":[25],"in":[26],"obtaining":[27],"high-quality":[28],"results.":[29],"This":[30],"paper":[31],"presents":[32],"a":[33,40,45,71,89],"new":[34,48,53],"DNA":[35,43],"genetic":[36,49],"algorithm":[37,87],"that":[38,59,85],"uses":[39],"novel":[41],"double-strand":[42],"encoding,":[44],"set":[46,72,90],"of":[47,73,91],"operators,":[50],"two":[52],"ranking":[54],"criteria":[55],"to":[56],"obtain":[57],"solutions":[58],"closely":[60],"approximate":[61],"the":[62,92],"Pareto-optimal":[63],"front.":[64],"The":[65,81],"extensive":[66],"experiments":[67],"were":[68],"performed":[69],"using":[70],"comprehensive":[74],"benchmark":[75],"bi-objective":[76],"tri-objective":[78],"test":[79],"problems.":[80],"experimental":[82],"results":[83],"show":[84],"this":[86],"outperforms":[88],"state-of-the-art":[93],"several":[97],"well-accepted":[98],"performance":[99],"metrics.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}