{"id":"https://openalex.org/W2375659499","doi":null,"title":"Evolutionary algorithm for constrained single-objective optimization","display_name":"Evolutionary algorithm for constrained single-objective optimization","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2375659499","mag":"2375659499"},"language":"en","primary_location":{"id":"mag:2375659499","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-SJSJ200907048.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764384989","display_name":"Jisuanji gongcheng yu sheji","issn_l":"1000-7024","issn":["1000-7024"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322614511","host_organization_name":"China Aerospace Science and Industry Group","host_organization_lineage":["https://openalex.org/P4322614511"],"host_organization_lineage_names":["China Aerospace Science and Industry Group"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng yu sheji","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5069972503","display_name":"Hongmei Li","orcid":"https://orcid.org/0000-0003-3829-4465","observed_orcids":["https://orcid.org/0000-0003-3829-4465"]},"institutions":[{"id":"https://openalex.org/I4210164009","display_name":"Guangdong Baiyun University","ror":"https://ror.org/04wmrj902","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164009"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongmei Li","raw_affiliation_strings":["Computer Department, Guangdong Baiyun College, Guangzhou 510450, China)"],"raw_orcid":"https://orcid.org/0000-0003-3829-4465","affiliations":[{"raw_affiliation_string":"Computer Department, Guangdong Baiyun College, Guangzhou 510450, China)","institution_ids":["https://openalex.org/I4210164009"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069972503"],"corresponding_institution_ids":["https://openalex.org/I4210164009"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0007999999797903001,"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":0.00019999999494757503,"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/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.8169999718666077},{"id":"https://openalex.org/keywords/penalty-function","display_name":"penalty method","score":0.8820000290870667},{"id":"https://openalex.org/keywords/penalty-parameter-selection","display_name":"penalty parameter selection","score":0.8899999856948853},{"id":"https://openalex.org/keywords/global-search-ability","display_name":"global search ability","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.790190577507019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7894256114959717},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.7874364256858826},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7223849296569824},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6734219789505005},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6594128608703613},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.504030168056488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4921945631504059},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.45483607053756714},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44728630781173706},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.42126303911209106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17806407809257507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16338703036308289},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2375659499","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-SJSJ200907048.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764384989","display_name":"Jisuanji gongcheng yu sheji","issn_l":"1000-7024","issn":["1000-7024"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322614511","host_organization_name":"China Aerospace Science and Industry Group","host_organization_lineage":["https://openalex.org/P4322614511"],"host_organization_lineage_names":["China Aerospace Science and Industry Group"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng yu sheji","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2164965973","https://openalex.org/W2167483411","https://openalex.org/W3140672841","https://openalex.org/W2071320097","https://openalex.org/W178530402","https://openalex.org/W2386436929","https://openalex.org/W2360853130","https://openalex.org/W2385690920","https://openalex.org/W2088500424","https://openalex.org/W2349187805"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,69],"overcome":[3],"the":[4,16,21,31,45,60,67,78],"major":[5],"shortcomings":[6],"of":[7,23,25,44,47,62,77],"penalty":[8,17],"function":[9],"method":[10],"that":[11],"is":[12,28,52,73],"difficult":[13],"in":[14],"choosing":[15],"parameters":[18],"and":[19,37],"control,":[20],"degree":[22],"constraint":[24,57],"individual":[26],"violation":[27],"used":[29],"completly,":[30],"binding":[32],"strength":[33,61],"indicators":[34],"are":[35],"defined":[36],"a":[38,56],"new":[39],"strong":[40],"global":[41],"search":[42],"ability":[43],"father":[46],"many":[48],"body":[49],"crossover":[50],"operator":[51],"designed,":[53],"which":[54],"presents":[55],"based":[58],"on":[59],"effective":[63],"evolutionary":[64,83],"algorithm,":[65],"through":[66],"validation":[68],"compare":[70],"their":[71],"performance":[72],"better":[74],"than":[75],"some":[76],"existing":[79],"constrained":[80],"single-objective":[81],"optimization":[82],"algorithms.":[84]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}