{"id":"https://openalex.org/W2042716007","doi":"https://doi.org/10.1109/cec.2014.6900456","title":"Memetic algorithm with adaptive local search depth for large scale global optimization","display_name":"Memetic algorithm with adaptive local search depth for large scale global optimization","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2042716007","doi":"https://doi.org/10.1109/cec.2014.6900456","mag":"2042716007"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5077675371","display_name":"Can Liu","orcid":"https://orcid.org/0000-0003-3267-3317"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Liu","raw_affiliation_strings":["Nature Inspired Computation and Applications Lab, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Lab, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365157","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-2332-3959"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["CAS Key Laboratory University of Science and Technology of China, Hefei, China","CAS Key Laboratory, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"CAS Key Laboratory, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.6203,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67298688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"88"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9952999949455261,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.9133504629135132},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.8621410727500916},{"id":"https://openalex.org/keywords/guided-local-search","display_name":"Guided Local Search","score":0.78062903881073},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6794215440750122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307284832000732},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6235732436180115},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5129318237304688},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.46775126457214355},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.456114262342453},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4474239945411682},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4334193170070648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39999955892562866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2279602289199829},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06140884757041931}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.9133504629135132},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.8621410727500916},{"id":"https://openalex.org/C90189156","wikidata":"https://www.wikidata.org/wiki/Q5615481","display_name":"Guided Local Search","level":3,"score":0.78062903881073},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6794215440750122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307284832000732},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6235732436180115},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5129318237304688},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.46775126457214355},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.456114262342453},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4474239945411682},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4334193170070648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39999955892562866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2279602289199829},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06140884757041931},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W66010334","https://openalex.org/W1650426659","https://openalex.org/W1699954493","https://openalex.org/W1708394971","https://openalex.org/W1879678483","https://openalex.org/W1918030494","https://openalex.org/W1988585341","https://openalex.org/W1998674867","https://openalex.org/W2008316291","https://openalex.org/W2017196268","https://openalex.org/W2032748535","https://openalex.org/W2067508429","https://openalex.org/W2081524587","https://openalex.org/W2107913933","https://openalex.org/W2109364787","https://openalex.org/W2116872250","https://openalex.org/W2121429049","https://openalex.org/W2121970379","https://openalex.org/W2123682012","https://openalex.org/W2123859926","https://openalex.org/W2156566884","https://openalex.org/W2158458634","https://openalex.org/W2160615157","https://openalex.org/W2169574584","https://openalex.org/W2916083864","https://openalex.org/W3137715965","https://openalex.org/W6639376729","https://openalex.org/W6683195961"],"related_works":["https://openalex.org/W2083844986","https://openalex.org/W2123829500","https://openalex.org/W2560221187","https://openalex.org/W2042716007","https://openalex.org/W2163647484","https://openalex.org/W103092118","https://openalex.org/W2129486222","https://openalex.org/W2092682196","https://openalex.org/W2240724679","https://openalex.org/W1655912143"],"abstract_inverted_index":{"Memetic":[0,72],"algorithms":[1],"(MAs)":[2],"have":[3],"been":[4],"recognized":[5],"as":[6],"an":[7,49],"effective":[8],"algorithm":[9],"framework":[10],"for":[11,24,43,63],"solving":[12],"optimization":[13],"problems.":[14],"However,":[15],"the":[16,22,39,60,82,91],"exiting":[17],"work":[18],"mainly":[19],"focused":[20],"on":[21,90],"improvement":[23],"search":[25,65],"operators.":[26],"Local":[27,51],"Search":[28,52],"Depth":[29,53],"(LSD)":[30],"is":[31,56,77],"a":[32],"crucial":[33],"parameter":[34],"in":[35,96],"MAs,":[36],"which":[37],"controls":[38],"computing":[40,61],"resources":[41,62],"assigned":[42],"local":[44,64],"search.":[45],"In":[46],"this":[47],"paper,":[48],"Adaptive":[50],"(ALSD)":[54],"strategy":[55],"proposed":[57],"to":[58,67],"arrange":[59],"according":[66],"its":[68,79],"performance":[69,80],"dynamically.":[70],"A":[71],"Algorithm":[73],"with":[74],"ALSD":[75,85],"(MA-ALSD)":[76],"presented,":[78],"and":[81],"effectiveness":[83],"of":[84],"are":[86],"testified":[87],"via":[88],"experiments":[89],"LSGO":[92],"test":[93],"suite":[94],"issued":[95],"CEC'2012.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
