{"id":"https://openalex.org/W2797002893","doi":"https://doi.org/10.2991/csece-18.2018.89","title":"An Improved Differential Evolution for Constrained Optimization Problems","display_name":"An Improved Differential Evolution for Constrained Optimization Problems","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2797002893","doi":"https://doi.org/10.2991/csece-18.2018.89","mag":"2797002893"},"language":"en","primary_location":{"id":"doi:10.2991/csece-18.2018.89","doi":"https://doi.org/10.2991/csece-18.2018.89","is_oa":true,"landing_page_url":"https://doi.org/10.2991/csece-18.2018.89","pdf_url":"https://download.atlantis-press.com/article/25893432.pdf","source":{"id":"https://openalex.org/S4306523652","display_name":"International Conference on Computer Science, Electronics and Communication Engineering (CSECE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://download.atlantis-press.com/article/25893432.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078724880","display_name":"Liechao Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142825","display_name":"Wuhan Technical College of Communications","ror":"https://ror.org/053syz184","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142825"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liechao Zhang","raw_affiliation_strings":["Wuhan Technical College of Communications, Wuhan 430065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Technical College of Communications, Wuhan 430065, China","institution_ids":["https://openalex.org/I4210142825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077682614","display_name":"Lin Shang","orcid":"https://orcid.org/0000-0003-0796-733X","observed_orcids":["https://orcid.org/0000-0003-0796-733X"]},"institutions":[{"id":"https://openalex.org/I4210142825","display_name":"Wuhan Technical College of Communications","ror":"https://ror.org/053syz184","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Shang","raw_affiliation_strings":["Wuhan Technical College of Communications, Wuhan 430065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Technical College of Communications, Wuhan 430065, China","institution_ids":["https://openalex.org/I4210142825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078724880"],"corresponding_institution_ids":["https://openalex.org/I4210142825"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"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":1.0,"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":1.0,"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":0.0,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-evolution","display_name":"differential evolution","score":0.9959999918937683},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"constrained optimization","score":0.9639999866485596},{"id":"https://openalex.org/keywords/orthogonal-experimental-design","display_name":"orthogonal experimental design","score":0.9769999980926514},{"id":"https://openalex.org/keywords/constraint-handling","display_name":"constraint handling","score":0.6740000247955322},{"id":"https://openalex.org/keywords/population-diversity","display_name":"population diversity","score":0.7820000052452087},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.5559999942779541}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.592212975025177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5745614767074585},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5048666596412659},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.41469836235046387},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.4141963720321655},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3895914554595947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2132054567337036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2072419822216034},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1311783492565155},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2991/csece-18.2018.89","doi":"https://doi.org/10.2991/csece-18.2018.89","is_oa":true,"landing_page_url":"https://doi.org/10.2991/csece-18.2018.89","pdf_url":"https://download.atlantis-press.com/article/25893432.pdf","source":{"id":"https://openalex.org/S4306523652","display_name":"International Conference on Computer Science, Electronics and Communication Engineering (CSECE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.2991/csece-18.2018.89","doi":"https://doi.org/10.2991/csece-18.2018.89","is_oa":true,"landing_page_url":"https://doi.org/10.2991/csece-18.2018.89","pdf_url":"https://download.atlantis-press.com/article/25893432.pdf","source":{"id":"https://openalex.org/S4306523652","display_name":"International Conference on Computer Science, Electronics and Communication Engineering (CSECE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797002893.pdf","grobid_xml":"https://content.openalex.org/works/W2797002893.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W98056105","https://openalex.org/W1487546987","https://openalex.org/W1511857018","https://openalex.org/W1564524050","https://openalex.org/W1595159159","https://openalex.org/W2020009149","https://openalex.org/W2038659300","https://openalex.org/W2081948801","https://openalex.org/W2109116383","https://openalex.org/W2143482492","https://openalex.org/W2145479420","https://openalex.org/W2151339633","https://openalex.org/W2151554678","https://openalex.org/W2155951974","https://openalex.org/W4206237891"],"related_works":["https://openalex.org/W2373766307","https://openalex.org/W2392003366","https://openalex.org/W1971579110","https://openalex.org/W1563734771","https://openalex.org/W2104595659","https://openalex.org/W2363097793","https://openalex.org/W2372202845","https://openalex.org/W2962775961","https://openalex.org/W4293153317","https://openalex.org/W2367657040"],"abstract_inverted_index":{"A":[0,107],"fast":[1],"and":[2,13,32,57,77,99,144,195,198],"robust":[3,51],"differential":[4],"evolution":[5],"based":[6,53,112],"on":[7,54,113],"orthogonal":[8,36,55,75],"design":[9,56,76],"(ODE)":[10],"is":[11,16,30,61,87,117,211],"proposed,":[12,118],"then":[14],"it":[15,146],"used":[17],"to":[18,95,148,156],"solve":[19,157],"constrained":[20,65],"optimization":[21],"problems.The":[22],"ODE":[23,44,127,181],"combines":[24],"the":[25,35,41,64,71,74,79,97,101,104,114,122,129,134,139,142,153,172,177,180,189,192,196,204,214,218],"conventional":[26],"DE":[27],"(CDE),":[28],"which":[29,38,119,136],"simple":[31,92],"efficient,":[33],"with":[34,63,161,167],"design,":[37],"can":[39,120,137],"exploit":[40],"optimum":[42],"offspring.The":[43],"has":[45],"some":[46,168],"features.1)":[47],"It":[48,90],"uses":[49,91],"a":[50],"crossover":[52],"an":[58],"optimal":[59,67],"offspring":[60],"generated":[62],"statistical":[66],"method.2)":[68],"To":[69],"decrease":[70],"number":[72,206],"of":[73,103,133,141,179,188,191,207],"make":[78,145],"algorithm":[80,143,155],"converge":[81],"faster,":[82],"decision":[83],"variable":[84],"fraction":[85],"strategy":[86],"applied":[88],"here.3)":[89],"diversity":[93,102],"rules":[94],"handle":[96],"constraints":[98],"maintain":[100],"population;":[105],"4)":[106],"multi-parent":[108],"hybrid":[109],"adaptive-crossover-mutation":[110],"operator":[111],"nonconvex":[115],"theory":[116],"enhance":[121],"non-convex":[123],"search":[124],"ability.5)":[125],"The":[126],"simplifies":[128],"scaling":[130],"factor":[131],"F":[132],"CDE,":[135],"reduce":[138],"parameters":[140],"easy":[147],"use":[149],"for":[150],"engineers.We":[151],"execute":[152],"proposed":[154],"13":[158],"benchmark":[159],"functions":[160],"linear":[162],"or/and":[163],"nonlinear":[164],"constraints.Through":[165],"comparison":[166],"state-ofthe-art":[169],"evolutionary":[170,184],"algorithms,":[171],"experimental":[173],"results":[174],"demonstrate":[175],"that":[176],"performance":[178],"outperforms":[182],"other":[183,219],"algorithms":[185],"in":[186],"terms":[187],"quality":[190],"final":[193],"solution":[194],"stability;":[197],"its":[199],"computational":[200],"cost":[201,215],"(measured":[202],"by":[203,217],"average":[205],"fitness":[208],"function":[209],"evaluations)":[210],"lower":[212],"than":[213],"required":[216],"techniques":[220],"compared.":[221]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2018-04-24T00:00:00"}