{"id":"https://openalex.org/W2960925205","doi":"https://doi.org/10.1145/3319619.3326796","title":"Towards solving neural networks with optimization trajectory search","display_name":"Towards solving neural networks with optimization trajectory search","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2960925205","doi":"https://doi.org/10.1145/3319619.3326796","mag":"2960925205"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3326796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3326796","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5081957702","display_name":"Lia T. Parsenadze","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Lia T. Parsenadze","raw_affiliation_strings":["Kyushu University"],"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045997649","display_name":"Danilo Vargas","orcid":"https://orcid.org/0000-0002-0232-0740"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Danilo Vasconcellos Vargas","raw_affiliation_strings":["Kyushu University"],"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044340313","display_name":"Toshiyuki Fujita","orcid":"https://orcid.org/0000-0002-8156-403X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyuki Fujita","raw_affiliation_strings":["Kyushu University"],"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081957702"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07952014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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":0.9991000294685364,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.996999979019165,"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":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.6674347519874573},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6184215545654297},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6006761789321899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640949606895447},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5591179728507996},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5019793510437012},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48471689224243164},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46144360303878784},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44897618889808655},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.43138065934181213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24820393323898315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2407400906085968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674347519874573},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6184215545654297},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6006761789321899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640949606895447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5591179728507996},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5019793510437012},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48471689224243164},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46144360303878784},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44897618889808655},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.43138065934181213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24820393323898315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2407400906085968},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3326796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3326796","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":5,"referenced_works":["https://openalex.org/W2038794597","https://openalex.org/W2099397840","https://openalex.org/W2606006859","https://openalex.org/W2962933129","https://openalex.org/W4241522606"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928"],"abstract_inverted_index":{"Modern":[0],"gradient":[1,23],"based":[2],"optimization":[3,82,139],"methods":[4,17],"for":[5,58,80],"deep":[6,28,62,141],"neural":[7],"networks":[8],"demonstrate":[9],"outstanding":[10],"results":[11],"on":[12,22,65],"image":[13],"classification":[14],"tasks.":[15],"However,":[16],"that":[18,93,113],"do":[19],"not":[20],"rely":[21],"feedback":[24],"fail":[25],"to":[26,41,45,78,88,102,111,117,122,137],"tackle":[27],"network":[29,42],"optimization.":[30],"In":[31,50],"the":[32,59,66,71,126],"held":[33],"of":[34,61,73,76,96,140],"evolutionary":[35,38,138],"computation,":[36],"applying":[37],"algorithms":[39],"directly":[40],"weights":[43],"remains":[44],"be":[46],"an":[47,134],"unresolved":[48],"challenge.":[49],"this":[51,131],"paper":[52],"we":[53,69,107],"examine":[54],"a":[55],"new":[56],"framework":[57],"evolution":[60],"nets.":[63],"Based":[64],"empirical":[67],"analysis,":[68],"propose":[70],"use":[72],"linear":[74,94],"sub-spaces":[75,95],"problems":[77],"search":[79],"promising":[81],"trajectories":[83,120],"in":[84],"parameter":[85],"space,":[86],"opposed":[87],"weight":[89],"evolution.":[90],"We":[91],"show":[92,112],"loss":[97],"functions":[98],"are":[99],"sufficiently":[100],"well-behaved":[101],"allow":[103],"trajectory":[104],"evaluation.":[105],"Furthermore,":[106],"introduce":[108],"fitness":[109],"measure":[110],"it":[114],"is":[115],"possible":[116],"correctly":[118],"categorize":[119],"according":[121],"their":[123],"distance":[124],"from":[125],"optimal":[127],"path.":[128],"As":[129],"such,":[130],"work":[132],"introduces":[133],"alternative":[135],"approach":[136],"networks.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
