{"id":"https://openalex.org/W2042928688","doi":"https://doi.org/10.1145/2739480.2754689","title":"Enhancing IACO <sub>R</sub> Local Search by Mtsls1-BFGS for Continuous Global Optimization","display_name":"Enhancing IACO <sub>R</sub> Local Search by Mtsls1-BFGS for Continuous Global Optimization","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2042928688","doi":"https://doi.org/10.1145/2739480.2754689","mag":"2042928688"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754689","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","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/A5026555162","display_name":"U. K. Arun Kumar","orcid":"https://orcid.org/0000-0002-3682-3012"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Udit Kumar","raw_affiliation_strings":["Indian Institute of Technology, Delhi, India","Indian Institute of Technology , Delhi , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology , Delhi , India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002842122","display_name":"Jayadeva","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayadeva","raw_affiliation_strings":["Indian Institute of Technology, Delhi, India","Indian Institute of Technology , Delhi , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology , Delhi , India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083371463","display_name":"Sumit Soman","orcid":"https://orcid.org/0000-0003-1926-3065"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumit Soman","raw_affiliation_strings":["Indian Institute of Technology, Delhi, India","Indian Institute of Technology , Delhi , India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology , Delhi , India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026555162"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85640371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"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":0.9966999888420105,"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":0.9958999752998352,"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":0.8810288906097412},{"id":"https://openalex.org/keywords/broyden\u2013fletcher\u2013goldfarb\u2013shanno-algorithm","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","score":0.8688439130783081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451022028923035},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6366962194442749},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.48939576745033264},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46686625480651855},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4453337788581848},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4381585121154785},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.42271268367767334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36403828859329224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23670107126235962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14404547214508057}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8810288906097412},{"id":"https://openalex.org/C132721684","wikidata":"https://www.wikidata.org/wiki/Q2877013","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","level":3,"score":0.8688439130783081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451022028923035},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6366962194442749},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.48939576745033264},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46686625480651855},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4453337788581848},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4381585121154785},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.42271268367767334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36403828859329224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23670107126235962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14404547214508057},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739480.2754689","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1503296932","https://openalex.org/W1565902586","https://openalex.org/W1595159159","https://openalex.org/W1968150523","https://openalex.org/W1974856944","https://openalex.org/W1975009952","https://openalex.org/W1983270553","https://openalex.org/W1985127868","https://openalex.org/W1989199137","https://openalex.org/W2004087683","https://openalex.org/W2030543747","https://openalex.org/W2032277533","https://openalex.org/W2033338535","https://openalex.org/W2037114197","https://openalex.org/W2051434435","https://openalex.org/W2052541343","https://openalex.org/W2063963525","https://openalex.org/W2095133175","https://openalex.org/W2102633893","https://openalex.org/W2114652055","https://openalex.org/W2118742452","https://openalex.org/W2136562297","https://openalex.org/W2139411991","https://openalex.org/W2144027346","https://openalex.org/W2167662333","https://openalex.org/W2766565184","https://openalex.org/W4252684946","https://openalex.org/W4293775970"],"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/W1655912143","https://openalex.org/W2560221187","https://openalex.org/W4287021660","https://openalex.org/W2143668930"],"abstract_inverted_index":{"A":[0],"widely":[1],"known":[2],"approach":[3,47,74,106,121,161],"for":[4,137,151],"continuous":[5],"global":[6,94,130],"optimization":[7],"has":[8],"been":[9,176],"the":[10,27,31,36,62,68,76,87,93,100,119,129,148,156,159],"Incremental":[11],"Ant":[12],"Colony":[13],"Framework":[14],"(IACOR).":[15],"In":[16,56,125],"this":[17],"paper,":[18],"we":[19,60,127],"propose":[20],"a":[21,50,111],"strategy":[22],"to":[23,178],"introduce":[24],"hybridization":[25],"within":[26],"exploitation":[28],"phase":[29],"of":[30,58,113,134,140,147],"IACOR":[32],"framework":[33],"by":[34,85],"using":[35],"Multi-Trajectory":[37],"Local":[38],"Search":[39],"(Mtsls1)":[40],"algorithm":[41,63],"and":[42,82,89,116,144],"Broyden-Fletcher-Goldfarb-Shanno":[43],"(BFGS)":[44],"algorithms.":[45,55],"Our":[46],"entails":[48],"making":[49],"probabilistic":[51],"choice":[52],"between":[53],"these":[54],"case":[57],"stagnation,":[59],"switch":[61],"being":[64],"used":[65],"based":[66],"on":[67,75,92,110,166],"last":[69],"iteration.":[70],"We":[71,103],"evaluate":[72],"our":[73,105],"Soft":[77],"Computing":[78],"(SOCO)":[79],"benchmark":[80,114,142],"functions":[81],"present":[83],"results":[84],"computing":[86],"mean":[88],"median":[90,149],"errors":[91],"optima":[95,131],"achieved,":[96],"as":[97,99],"well":[98],"iterations":[101],"required.":[102],"compare":[104],"with":[107,171],"competing":[108,172],"methods":[109],"number":[112],"functions,":[115,143],"show":[117],"that":[118],"proposed":[120,160],"achieves":[122],"improved":[123],"results.":[124],"particular,":[126],"obtain":[128],"in":[132,145],"terms":[133,146],"average":[135],"value":[136,150],"14":[138],"out":[139],"19":[141],"all":[152],"SOCO":[153],"benchmarks.":[154],"At":[155],"same":[157],"time,":[158],"uses":[162],"fewer":[163],"function":[164,182],"evaluations":[165],"several":[167],"benchmarks":[168],"when":[169],"compared":[170],"methods,":[173],"which":[174],"have":[175],"found":[177],"use":[179],"54%":[180],"more":[181],"evaluations.":[183]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}