{"id":"https://openalex.org/W3117798679","doi":"https://doi.org/10.3390/sym13010063","title":"A Modified jSO Algorithm for Solving Constrained Engineering Problems","display_name":"A Modified jSO Algorithm for Solving Constrained Engineering Problems","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3117798679","doi":"https://doi.org/10.3390/sym13010063","mag":"3117798679"},"language":"en","primary_location":{"id":"doi:10.3390/sym13010063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010063","pdf_url":"https://www.mdpi.com/2073-8994/13/1/63/pdf?version=1610510046","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/1/63/pdf?version=1610510046","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046524792","display_name":"Yong Shen","orcid":"https://orcid.org/0000-0002-2430-8486"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Shen","raw_affiliation_strings":["School of Software, Yunnan University, Kunming 650000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041561299","display_name":"Ziyuan Liang","orcid":"https://orcid.org/0000-0001-8658-0330"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Liang","raw_affiliation_strings":["School of Software, Yunnan University, Kunming 650000, China"],"raw_orcid":"https://orcid.org/0000-0001-8658-0330","affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055244952","display_name":"Hongwei Kang","orcid":"https://orcid.org/0000-0002-5466-7092"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Kang","raw_affiliation_strings":["School of Software, Yunnan University, Kunming 650000, China"],"raw_orcid":"https://orcid.org/0000-0002-5466-7092","affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054298041","display_name":"Xingping Sun","orcid":"https://orcid.org/0000-0002-1254-7965"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingping Sun","raw_affiliation_strings":["School of Software, Yunnan University, Kunming 650000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089242361","display_name":"Qingyi Chen","orcid":"https://orcid.org/0000-0001-8472-4636"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Chen","raw_affiliation_strings":["School of Software, Yunnan University, Kunming 650000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming 650000, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055244952"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.6246,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87666951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"63","last_page":"63"},"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":0.995199978351593,"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":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6269034147262573},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6020197868347168},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5787155628204346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511906147003174},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.519154965877533},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5062021613121033},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4816233515739441},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.47126269340515137},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4510461986064911},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4475022554397583},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.43740034103393555},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.42492228746414185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.307772159576416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2073264718055725}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6269034147262573},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6020197868347168},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5787155628204346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511906147003174},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.519154965877533},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5062021613121033},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4816233515739441},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.47126269340515137},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4510461986064911},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4475022554397583},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.43740034103393555},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.42492228746414185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.307772159576416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2073264718055725},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym13010063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010063","pdf_url":"https://www.mdpi.com/2073-8994/13/1/63/pdf?version=1610510046","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:160ca5bef6c74f3eabed0efeaab223b5","is_oa":true,"landing_page_url":"https://doaj.org/article/160ca5bef6c74f3eabed0efeaab223b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 1, p 63 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/1/63/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13010063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 13; Issue 1; Pages: 63","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13010063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010063","pdf_url":"https://www.mdpi.com/2073-8994/13/1/63/pdf?version=1610510046","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3232340730","display_name":null,"funder_award_id":"61876166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6135574011","display_name":"\u9488\u5bf9\u65f6\u95f4\u5e8f\u5217\u805a\u7c7b\u95ee\u9898\u7684\u7279\u5f81\u5b66\u4e60\u4e0e\u96c6\u6210\u5b66\u4e60\u7814\u7a76","funder_award_id":"61663046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3117798679.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W190427941","https://openalex.org/W200738318","https://openalex.org/W203276351","https://openalex.org/W1487136126","https://openalex.org/W1565746575","https://openalex.org/W1591939288","https://openalex.org/W1595159159","https://openalex.org/W1673310716","https://openalex.org/W1912497050","https://openalex.org/W1981482533","https://openalex.org/W1996975730","https://openalex.org/W2014381965","https://openalex.org/W2016017953","https://openalex.org/W2017568388","https://openalex.org/W2020320008","https://openalex.org/W2027825959","https://openalex.org/W2040812918","https://openalex.org/W2042253843","https://openalex.org/W2085837260","https://openalex.org/W2114850831","https://openalex.org/W2123682012","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2157833270","https://openalex.org/W2198463014","https://openalex.org/W2306115793","https://openalex.org/W2310612427","https://openalex.org/W2411217045","https://openalex.org/W2542467397","https://openalex.org/W2557681843","https://openalex.org/W2558060755","https://openalex.org/W2558097110","https://openalex.org/W2559097702","https://openalex.org/W2559659083","https://openalex.org/W2726592172","https://openalex.org/W2729414995","https://openalex.org/W2732171826","https://openalex.org/W2774408184","https://openalex.org/W2785312537","https://openalex.org/W2792199826","https://openalex.org/W2796139399","https://openalex.org/W2797204974","https://openalex.org/W2803367616","https://openalex.org/W2897245210","https://openalex.org/W2897928898","https://openalex.org/W2899191645","https://openalex.org/W2937708754","https://openalex.org/W2938116635","https://openalex.org/W2944413817","https://openalex.org/W2950680102","https://openalex.org/W2966668338","https://openalex.org/W2966984528","https://openalex.org/W2968247632","https://openalex.org/W2971722690","https://openalex.org/W3011317851","https://openalex.org/W3031232991","https://openalex.org/W4300958603","https://openalex.org/W6682642761"],"related_works":["https://openalex.org/W2123829500","https://openalex.org/W2305572622","https://openalex.org/W4283765137","https://openalex.org/W4317496694","https://openalex.org/W3174749984","https://openalex.org/W2887485518","https://openalex.org/W2394392475","https://openalex.org/W1655912143","https://openalex.org/W2015132550","https://openalex.org/W2021957875"],"abstract_inverted_index":{"Proposing":[0],"new":[1],"strategies":[2],"to":[3,67,112,182],"improve":[4],"the":[5,21,25,38,42,52,58,77,114,131,134,137,161,184,187,229,239,243,248],"optimization":[6,264],"performance":[7,132,185],"of":[8,24,79,133,165,186,238,245],"differential":[9],"evolution":[10],"(DE)":[11],"is":[12,37,65,91,94,120,158,168],"an":[13,255],"important":[14],"research":[15],"study.":[16],"The":[17,163,222],"jSO":[18,53,88],"algorithm":[19,40,49,54,89,135,231],"was":[20],"announced":[22],"winner":[23],"Congress":[26],"on":[27,33,96,130,153],"Evolutionary":[28],"Computation":[29],"(CEC)":[30],"2017":[31],"competition":[32],"numerical":[34],"optimization,":[35],"and":[36,64,102,136,197,199,204,216,225,242,257,266],"state-of-the-art":[39,191],"in":[41,57,160,236],"SHADE":[43],"(Success-History":[44],"based":[45,95,152],"Adaptive":[46],"Differential":[47],"Evolution)":[48],"series.":[50],"However,":[51],"converges":[55],"prematurely":[56],"search":[59,138,156],"space":[60],"with":[61,99,110,177,208],"different":[62],"dimensions":[63],"prone":[66],"falling":[68],"into":[69,143],"local":[70],"optimum":[71],"during":[72],"evolution,":[73],"as":[74,76,254],"well":[75,121],"problem":[78],"decreasing":[80],"population":[81,173,179],"diversity.":[82],"In":[83],"this":[84],"paper,":[85],"a":[86,103,127,148,154,172,178],"modified":[87],"(MjSO)":[90],"proposed":[92,188,230,249],"which":[93],"cosine":[97],"similarity":[98],"parameter":[100,124,149],"adaptation":[101],"novel":[104],"opposition-based":[105],"learning":[106],"restart":[107],"mechanism":[108],"incorporated":[109],"symmetry":[111],"address":[113],"above":[115],"problems,":[116],"respectively.":[117],"Moreover,":[118],"it":[119],"known":[122],"that":[123,228],"setting":[125],"has":[126],"significant":[128],"impact":[129],"process":[139,157],"can":[140,232,251],"be":[141,252],"divided":[142],"two":[144,200],"symmetrical":[145],"parts.":[146],"Hence,":[147],"control":[150],"strategy":[151],"symmetric":[155],"introduced":[159],"MjSO.":[162],"effectiveness":[164],"these":[166],"designs":[167],"supported":[169],"by":[170],"presenting":[171],"clustering":[174],"analysis,":[175],"along":[176],"diversity":[180],"measure":[181],"evaluate":[183],"algorithm,":[189],"three":[190,217],"DE":[192],"variant":[193],"algorithms":[194,202],"(EBLSHADE,":[195],"ELSHADE-SPACMA,":[196],"SALSHADE-cnEPSin)":[198],"original":[201],"(jSO":[203],"LSHADE)":[205],"are":[206],"compared":[207],"it,":[209],"for":[210,261],"solving":[211],"30":[212],"CEC\u201917":[213],"benchmark":[214],"functions":[215],"classical":[218],"engineering":[219],"design":[220],"problems.":[221],"experimental":[223],"results":[224],"analysis":[226],"reveal":[227],"outperform":[233],"other":[234],"competitions":[235],"terms":[237],"convergence":[240],"speed":[241],"quality":[244],"solutions.":[246],"Promisingly,":[247],"method":[250],"treated":[253],"effective":[256],"efficient":[258],"auxiliary":[259],"tool":[260],"more":[262],"complex":[263],"models":[265],"scenarios.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}