{"id":"https://openalex.org/W4200172827","doi":"https://doi.org/10.1145/3487075.3487086","title":"Investigation of Octane Number Loss Based on Particle Swarm Optimization","display_name":"Investigation of Octane Number Loss Based on Particle Swarm Optimization","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W4200172827","doi":"https://doi.org/10.1145/3487075.3487086"},"language":"en","primary_location":{"id":"doi:10.1145/3487075.3487086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","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/A5051710770","display_name":"Huawen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawen Yang","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413085","display_name":"Zihao Wang","orcid":"https://orcid.org/0000-0002-3919-0396"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Wang","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334619","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-6598-1036"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18423734,"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":0.998199999332428,"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":0.998199999332428,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9532999992370605,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7966809868812561},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.7059382796287537},{"id":"https://openalex.org/keywords/flocking","display_name":"Flocking (texture)","score":0.6011744737625122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5367079973220825},{"id":"https://openalex.org/keywords/gasoline","display_name":"Gasoline","score":0.5216391682624817},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4909704029560089},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4733212888240814},{"id":"https://openalex.org/keywords/octane-rating","display_name":"Octane rating","score":0.460114061832428},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44614356756210327},{"id":"https://openalex.org/keywords/octane","display_name":"Octane","score":0.4295719265937805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37731167674064636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2876550555229187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21456891298294067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2097623348236084},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10958424210548401},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10433098673820496}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7966809868812561},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.7059382796287537},{"id":"https://openalex.org/C2781220375","wikidata":"https://www.wikidata.org/wiki/Q814208","display_name":"Flocking (texture)","level":2,"score":0.6011744737625122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5367079973220825},{"id":"https://openalex.org/C103697071","wikidata":"https://www.wikidata.org/wiki/Q39558","display_name":"Gasoline","level":2,"score":0.5216391682624817},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4909704029560089},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4733212888240814},{"id":"https://openalex.org/C163721339","wikidata":"https://www.wikidata.org/wiki/Q193423","display_name":"Octane rating","level":3,"score":0.460114061832428},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44614356756210327},{"id":"https://openalex.org/C2776624427","wikidata":"https://www.wikidata.org/wiki/Q150681","display_name":"Octane","level":2,"score":0.4295719265937805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37731167674064636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2876550555229187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21456891298294067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2097623348236084},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10958424210548401},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10433098673820496},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487075.3487086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487075.3487086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","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":18,"referenced_works":["https://openalex.org/W100093573","https://openalex.org/W1859314164","https://openalex.org/W1991245688","https://openalex.org/W2013647860","https://openalex.org/W2130824784","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2169245194","https://openalex.org/W2573137292","https://openalex.org/W2738016338","https://openalex.org/W2994770973","https://openalex.org/W2996991292","https://openalex.org/W3000336238","https://openalex.org/W3136411624","https://openalex.org/W3165294060","https://openalex.org/W4212837215","https://openalex.org/W6675999727","https://openalex.org/W7062659340"],"related_works":["https://openalex.org/W2350118900","https://openalex.org/W2377924126","https://openalex.org/W4252484153","https://openalex.org/W4200230630","https://openalex.org/W2380029726","https://openalex.org/W2810105766","https://openalex.org/W2913492072","https://openalex.org/W63108996","https://openalex.org/W2498565708","https://openalex.org/W824739426"],"abstract_inverted_index":{"The":[0],"Particle":[1],"swarm":[2,7],"optimization":[3,75],"(PSO)":[4],"is":[5,18,28,88,101,138],"a":[6,49,63],"intelligence":[8],"algorithm":[9,58,72],"that":[10,93,116],"simulates":[11],"the":[12,21,53,56,74,84,89,95,102,126],"predatory":[13],"behavior":[14,23],"of":[15,24,35,55,76,106],"birds.":[16],"It":[17,27],"inspired":[19],"by":[20,59],"social":[22],"bird":[25],"flocking.":[26],"widely":[29],"used":[30],"in":[31,80,83],"many":[32],"fields":[33],"because":[34],"its":[36],"easy":[37],"implementation,":[38],"high":[39],"accuracy,":[40],"and":[41,99],"fast":[42],"convergence.":[43],"In":[44],"this":[45],"article,":[46],"we":[47],"propose":[48],"method":[50],"to":[51],"improve":[52],"performance":[54,98],"PSO":[57],"combining":[60],"it":[61,100],"with":[62],"gradient":[64],"boosting":[65],"regression":[66],"(GBR)":[67],"model.":[68],"We":[69],"apply":[70],"our":[71],"for":[73],"octane":[77],"number":[78],"(express":[79],"RON)":[81],"loss":[82,119],"gasoline":[85],"industry.":[86],"RON":[87,117],"most":[90],"significant":[91],"indicator":[92],"reflects":[94],"combustion":[96],"petrol":[97,107],"commercial":[103],"brand":[104],"name":[105],"(e.g.,":[108],"89#,":[109],"92#,":[110],"95#).":[111],"Our":[112],"simulation":[113],"results":[114],"demonstrate":[115],"average":[118],"rate":[120],"was":[121,130],"greater":[122,132,140],"than":[123,133,141],"30%,":[124],"under":[125],"product's":[127],"sulfur":[128],"content":[129],"no":[131,139],"5\u03bcg/g":[134],"(Euro":[135],"VI":[136],"standard":[137],"10\u03bcg/g).":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
