{"id":"https://openalex.org/W1991705447","doi":"https://doi.org/10.1109/cec.2013.6557691","title":"Teaching and learning best Differential Evoltuion with self adaptation for real parameter optimization","display_name":"Teaching and learning best Differential Evoltuion with self adaptation for real parameter optimization","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1991705447","doi":"https://doi.org/10.1109/cec.2013.6557691","mag":"1991705447"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2013.6557691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","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/A5003077684","display_name":"Subhodip Biswas","orcid":"https://orcid.org/0000-0002-7065-2966"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhodip Biswas","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India","Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, , India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076002956","display_name":"Souvik Kundu","orcid":"https://orcid.org/0000-0002-3533-9405"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Souvik Kundu","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India","Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, , India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000078546","display_name":"Swagatam Das","orcid":"https://orcid.org/0000-0001-6843-4508"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swagatam Das","raw_affiliation_strings":["Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute, Kolkata, West Bengal, India","Electron. & Commun. Sci. Unit (ECSU), Indian Stat. Inst., Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Electron. & Commun. Sci. Unit (ECSU), Indian Stat. Inst., Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074022699","display_name":"Athanasios V. Vasilakos","orcid":"https://orcid.org/0000-0003-1902-9877"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Athanasios V. Vasilakos","raw_affiliation_strings":["Computer Science Department, Faculty of Science, Kuwait University, Kuwait","Computer Science Department Kuwait University Kuwait City Kuwait"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Science, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]},{"raw_affiliation_string":"Computer Science Department Kuwait University Kuwait City Kuwait","institution_ids":["https://openalex.org/I36721946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7457,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91698994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1115","last_page":"1122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9958000183105469,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7619261741638184},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.7463816404342651},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.7212750315666199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211193442344666},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6235111951828003},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5933640003204346},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5918494462966919},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5489596724510193},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5449127554893494},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5223689675331116},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4759923219680786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46765679121017456},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45716819167137146},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.42361077666282654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38329318165779114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2206273376941681},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1667102575302124},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.09653103351593018}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7619261741638184},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7463816404342651},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.7212750315666199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211193442344666},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6235111951828003},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5933640003204346},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5918494462966919},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5489596724510193},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5449127554893494},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5223689675331116},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4759923219680786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46765679121017456},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45716819167137146},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.42361077666282654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38329318165779114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2206273376941681},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1667102575302124},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.09653103351593018},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2013.6557691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1573534773","https://openalex.org/W1595159159","https://openalex.org/W1607768087","https://openalex.org/W1995467152","https://openalex.org/W1998674867","https://openalex.org/W1999284878","https://openalex.org/W2009645864","https://openalex.org/W2088424609","https://openalex.org/W2129724855","https://openalex.org/W2132181343","https://openalex.org/W2137340504","https://openalex.org/W2144636407","https://openalex.org/W2151554678","https://openalex.org/W2156194072","https://openalex.org/W2325018647","https://openalex.org/W6636486754"],"related_works":["https://openalex.org/W1485837041","https://openalex.org/W3204955359","https://openalex.org/W2038379963","https://openalex.org/W4251258648","https://openalex.org/W2079483465","https://openalex.org/W2107894985","https://openalex.org/W2370079837","https://openalex.org/W2726178318","https://openalex.org/W2911471039","https://openalex.org/W2902454235"],"abstract_inverted_index":{"Differential":[0],"Evolution":[1],"(DE),":[2],"a":[3,18,31,51,55],"rather":[4],"new":[5],"members":[6],"of":[7,34,40,73],"the":[8,38,41,44,48,79],"evolutionary":[9],"computing":[10],"paradigm,":[11],"has":[12],"rose":[13],"to":[14,23],"widespread":[15],"popularity":[16],"in":[17,30,50],"short":[19],"time":[20],"interval":[21],"owing":[22],"its":[24],"simple":[25],"design":[26],"and":[27,57,84,99],"robust":[28],"performance":[29],"wide":[32],"variety":[33],"problems.":[35,68,102],"Inspired":[36],"from":[37],"effect":[39],"teacher":[42],"on":[43,86,96],"knowledge":[45],"gained":[46],"by":[47],"learners":[49],"class,":[52],"we":[53],"propose":[54],"teaching":[56],"learning":[58],"based":[59],"self-adaptive":[60],"DE":[61],"(TLBSaDE)":[62],"for":[63,78],"solving":[64],"real":[65],"parameter":[66],"optimization":[67],"A":[69],"benchmark":[70],"suite":[71],"consisting":[72],"28":[74],"test":[75],"problems,":[76],"proposed":[77],"CEC":[80],"2013":[81],"Special":[82],"Session":[83],"Competition":[85],"Real":[87],"Parameter":[88],"Optimization,":[89],"is":[90],"used.":[91],"The":[92],"results":[93],"are":[94],"obtained":[95],"10,":[97],"30":[98],"50":[100],"dimensional":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
