{"id":"https://openalex.org/W4294691746","doi":"https://doi.org/10.1109/access.2022.3204649","title":"A Balanced Squad for Indian Premier League Using Modified NSGA-II","display_name":"A Balanced Squad for Indian Premier League Using Modified NSGA-II","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294691746","doi":"https://doi.org/10.1109/access.2022.3204649"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3204649","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204649","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878123.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091715632","display_name":"Shanu Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shanu Verma","raw_affiliation_strings":["Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"raw_orcid":"https://orcid.org/0000-0002-7725-1946","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087076690","display_name":"Vivekanand Pandey","orcid":"https://orcid.org/0000-0001-8470-7772"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivekanand Pandey","raw_affiliation_strings":["Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081953081","display_name":"Millie Pant","orcid":"https://orcid.org/0000-0002-7668-7887"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Millie Pant","raw_affiliation_strings":["Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"raw_orcid":"https://orcid.org/0000-0002-7668-7887","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011543714","display_name":"V\u00e1clav Sn\u00e5\u0161el","orcid":"https://orcid.org/0000-0002-9600-8319"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vaclav Snasel","raw_affiliation_strings":["Department of Computer Science, VSB&#x2014;Technical University of Ostrava, Ostrava, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-9600-8319","affiliations":[{"raw_affiliation_string":"Department of Computer Science, VSB&#x2014;Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0763,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85844331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"100463","last_page":"100477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9229999780654907,"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/knapsack-problem","display_name":"Knapsack problem","score":0.7827216386795044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647287130355835},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6256492137908936},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47737953066825867},{"id":"https://openalex.org/keywords/league","display_name":"League","score":0.45316213369369507},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4384865164756775},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4207625389099121},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3551056683063507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2986125946044922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29832708835601807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27577611804008484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07956954836845398}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.7827216386795044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647287130355835},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6256492137908936},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47737953066825867},{"id":"https://openalex.org/C207456731","wikidata":"https://www.wikidata.org/wiki/Q660818","display_name":"League","level":2,"score":0.45316213369369507},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4384865164756775},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4207625389099121},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3551056683063507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2986125946044922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29832708835601807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27577611804008484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07956954836845398},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3204649","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204649","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1831ae21f9a74e5e812a89bc6034da49","is_oa":true,"landing_page_url":"https://doaj.org/article/1831ae21f9a74e5e812a89bc6034da49","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":"IEEE Access, Vol 10, Pp 100463-100477 (2022)","raw_type":"article"},{"id":"pmh:oai:dspace.vsb.cz:10084/148922","is_oa":true,"landing_page_url":"http://hdl.handle.net/10084/148922","pdf_url":null,"source":{"id":"https://openalex.org/S4306401668","display_name":"DSpace V\u0160B-TUO (V\u0160B-TUO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142208455","host_organization_name":"VSB - Technical University of Ostrava","host_organization_lineage":["https://openalex.org/I142208455"],"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":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3204649","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3204649","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09878123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294691746.pdf","grobid_xml":"https://content.openalex.org/works/W4294691746.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W107120559","https://openalex.org/W1824646647","https://openalex.org/W1971013069","https://openalex.org/W1988473885","https://openalex.org/W2001664548","https://openalex.org/W2061547867","https://openalex.org/W2069661429","https://openalex.org/W2093995766","https://openalex.org/W2096166399","https://openalex.org/W2106307115","https://openalex.org/W2123541507","https://openalex.org/W2126105956","https://openalex.org/W2207649084","https://openalex.org/W2209902657","https://openalex.org/W2770928607","https://openalex.org/W2896107239","https://openalex.org/W2943056142","https://openalex.org/W3127225523","https://openalex.org/W3134267570","https://openalex.org/W3136972837","https://openalex.org/W3148921802","https://openalex.org/W6630838125"],"related_works":["https://openalex.org/W241127407","https://openalex.org/W2381035939","https://openalex.org/W2468477307","https://openalex.org/W2910645127","https://openalex.org/W162895179","https://openalex.org/W1521824362","https://openalex.org/W3177799343","https://openalex.org/W3119198325","https://openalex.org/W623642078","https://openalex.org/W2389015757"],"abstract_inverted_index":{"Selecting":[0],"team":[1,30,140],"players":[2,92,203,218],"is":[3,54,112],"a":[4,10,32,51,73,115],"crucial":[5],"and":[6,15,43,62,85,100,126,142,151,161,194],"challenging":[7],"task":[8],"demanding":[9],"considerable":[11],"amount":[12],"of":[13,27,39,46,80,97,106,156,190,202,204,209],"thinking":[14],"hard":[16],"work":[17],"by":[18,76],"the":[19,25,37,41,47,67,78,95,98,103,154,175,188,191,210],"selectors.":[20],"The":[21,108,182,196],"present":[22],"study":[23],"formulated":[24],"selection":[26,141],"an":[28,57],"IPL":[29,139,183,222],"as":[31,114],"multi-objective":[33,146],"optimization":[34,147],"problem":[35,109,118],"with":[36,134,169],"objectives":[38],"maximizing":[40],"batting":[42],"bowling":[44],"performance":[45,53,96,158],"squad,":[48],"in":[49,110,179,221],"which":[50,120],"player\u2019s":[52],"estimated":[55],"using":[56],"efficient":[58],"Batting":[59],"Performance":[60],"Factor":[61],"Combined":[63],"Bowling":[64],"Rate.":[65],"Also,":[66],"proposed":[68,192],"model":[69,193],"tries":[70],"to":[71,93],"formulate":[72],"balanced":[74],"squad":[75,99],"constraining":[77],"number":[79],"pure":[81,83],"batters,":[82],"bowlers":[84],"all-rounders.":[86],"Bounds":[87],"are":[88,128],"considered":[89,178],"on":[90,153],"star":[91],"enhance":[94],"also":[101],"from":[102],"income":[104],"prospects":[105],"IPL.":[107],"itself":[111],"treated":[113],"0/1":[116],"knapsack":[117],"for":[119,138],"two":[121],"combinatorial":[122],"algorithms,":[123,148],"namely,":[124],"BNSGA-II":[125,170],"INSGA-I,":[127],"developed.":[129],"These":[130],"algorithms":[131,166,177],"were":[132],"compared":[133],"existing":[135],"modified":[136],"NSGA-II":[137],"three":[143],"other":[144,176],"popular":[145],"NSGA-II,":[149],"NSDE":[150],"MOPSO-CD":[152],"basis":[155],"standard":[157],"metrics:":[159],"hypervolume":[160],"inverted":[162],"generational":[163],"distance.":[164],"Both":[165],"performed":[167,219],"well,":[168],"performing":[171],"better":[172],"than":[173],"all":[174],"this":[180],"study.":[181],"2020":[184,223],"players\u2019":[185],"data":[186],"validated":[187],"applicability":[189],"algorithms.":[195],"trade-off":[197,211],"squads":[198,212],"have":[199],"appropriate":[200],"proportions":[201],"each":[205],"expertise.":[206],"Further":[207],"analysis":[208],"demonstrated":[213],"that":[214],"many":[215],"theoretically":[216],"selected":[217],"well":[220],"matches.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
