{"id":"https://openalex.org/W2507321735","doi":"https://doi.org/10.1145/2905055.2905160","title":"An Improved Fitness Based Differential Evolution Algorithm (IFBDEA)","display_name":"An Improved Fitness Based Differential Evolution Algorithm (IFBDEA)","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2507321735","doi":"https://doi.org/10.1145/2905055.2905160","mag":"2507321735"},"language":"en","primary_location":{"id":"doi:10.1145/2905055.2905160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","raw_type":"proceedings-article"},"type":"article","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/A5101377644","display_name":"Hitesh Sharma","orcid":"https://orcid.org/0000-0002-1917-6423"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hitesh Sharma","raw_affiliation_strings":["Govt. Engineering College Ajmer, India"],"affiliations":[{"raw_affiliation_string":"Govt. Engineering College Ajmer, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101498103","display_name":"Vikas Sharma","orcid":"https://orcid.org/0009-0005-5130-9248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. P. Sharma","raw_affiliation_strings":["Govt. Engineering College Ajmer, India"],"affiliations":[{"raw_affiliation_string":"Govt. Engineering College Ajmer, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085513157","display_name":"Akrati Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akrati Sharma","raw_affiliation_strings":["Govt. Engineering College Ajmer, India"],"affiliations":[{"raw_affiliation_string":"Govt. Engineering College Ajmer, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019105046","display_name":"Prakash Meena","orcid":"https://orcid.org/0009-0009-3951-4555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakash Meena","raw_affiliation_strings":["Govt. Engineering College Ajmer, India"],"affiliations":[{"raw_affiliation_string":"Govt. Engineering College Ajmer, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101377644"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04678949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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":0.9936000108718872,"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":0.7508793473243713},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6562466025352478},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6178292632102966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101241111755371},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6030945777893066},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5785107016563416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5697275996208191},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5104490518569946},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4474428594112396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2636095881462097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20035624504089355}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7508793473243713},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6562466025352478},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6178292632102966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101241111755371},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6030945777893066},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5785107016563416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5697275996208191},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5104490518569946},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4474428594112396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2636095881462097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20035624504089355},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2905055.2905160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","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":16,"referenced_works":["https://openalex.org/W1504391786","https://openalex.org/W1513333016","https://openalex.org/W1591939288","https://openalex.org/W1595159159","https://openalex.org/W1708394971","https://openalex.org/W1927464601","https://openalex.org/W1955291487","https://openalex.org/W1998623500","https://openalex.org/W2037917527","https://openalex.org/W2056211620","https://openalex.org/W2084007007","https://openalex.org/W2123682012","https://openalex.org/W2124548165","https://openalex.org/W2125332715","https://openalex.org/W2156194072","https://openalex.org/W2187968236"],"related_works":["https://openalex.org/W1988293173","https://openalex.org/W2895647686","https://openalex.org/W2076472895","https://openalex.org/W2389275641","https://openalex.org/W3111421931","https://openalex.org/W3177681191","https://openalex.org/W1985939653","https://openalex.org/W2039847237","https://openalex.org/W2021957875","https://openalex.org/W2015132550"],"abstract_inverted_index":{"Research":[0],"workers":[1],"solve":[2,15],"the":[3,41,104,132,135,139,155,166,172],"simple":[4,35],"problems":[5,17,42,173,185,190],"of":[6,18,92,144,160,163,168,171],"optimization":[7,19],"by":[8],"using":[9,94,119],"various":[10],"mathematical":[11],"techniques.":[12],"But":[13],"to":[14,39,59,80,102,137],"complex":[16],"a":[20,90],"stochastic":[21],"and":[22,36,63,69,82,110,142,146,165,191,196],"population":[23],"based":[24],"algorithm":[25,38,88,98,128,177],"named":[26],"Differential":[27],"Evolution":[28],"(DE)":[29],"is":[30,33,74,89,117,149],"used.":[31],"DE":[32,50,81],"fast,":[34],"straightforward":[37],"optimize":[40],"which":[43,186],"are":[44,130],"complex.":[45],"Like":[46],"other":[47],"evolutionary":[48],"algorithms":[49],"also":[51,75],"has":[52,178],"some":[53,66],"drawbacks.":[54],"In":[55,100,126],"FBDE":[56,73,93,136,145,197],"author":[57],"tried":[58],"overcome":[60],"these":[61],"drawbacks":[62],"tested":[64,180],"on":[65,181],"benchmark":[67,184],"functions":[68],"real":[70,188],"world":[71,189],"problems.":[72],"found":[76],"good":[77],"as":[78],"compared":[79],"its":[83,147],"recent":[84],"variants.":[85],"The":[86,175],"proposed":[87,127,176],"improvement":[91],"my":[95],"previously":[96],"published":[97],"PGLFDE.":[99],"PGLFDE":[101,133],"make":[103],"balance":[105],"between":[106,157],"DE's":[107],"exploration":[108],"(globally)":[109],"exploitation":[111],"(locally)":[112],"capabilities":[113],"levy":[114],"flight":[115],"search":[116],"modified":[118],"different":[120,124,158],"mutation":[121],"strategies":[122],"for":[123],"population.":[125],"we":[129],"hybridizing":[131],"into":[134],"improve":[138],"accuracy,":[140],"efficiency":[141],"reliability":[143],"name":[148],"called":[150],"IFBDEA.":[151],"We":[152],"have":[153],"plotted":[154],"graph":[156],"points":[159],"crossover":[161],"rates":[162,170],"IFBDEA":[164],"sum":[167],"success":[169],"taken.":[174],"been":[179],"23":[182],"standard":[183],"includes":[187],"personified":[192],"with":[193],"DE,":[194],"LFDE":[195],"algorithms.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
