{"id":"https://openalex.org/W3083173115","doi":"https://doi.org/10.1109/cec48606.2020.9185594","title":"A fitness dependent salp swarm algorithm","display_name":"A fitness dependent salp swarm algorithm","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083173115","doi":"https://doi.org/10.1109/cec48606.2020.9185594","mag":"3083173115"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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/A5031347642","display_name":"Danilo Pelusi","orcid":"https://orcid.org/0000-0003-0889-278X"},"institutions":[{"id":"https://openalex.org/I124326101","display_name":"University of Teramo","ror":"https://ror.org/01yetye73","country_code":"IT","type":"education","lineage":["https://openalex.org/I124326101"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Pelusi","raw_affiliation_strings":["Faculty of Communication Sciences, University of Teramo, Teramo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Communication Sciences, University of Teramo, Teramo, Italy","institution_ids":["https://openalex.org/I124326101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085300345","display_name":"Raffaele Mascella","orcid":"https://orcid.org/0000-0002-1305-7853"},"institutions":[{"id":"https://openalex.org/I124326101","display_name":"University of Teramo","ror":"https://ror.org/01yetye73","country_code":"IT","type":"education","lineage":["https://openalex.org/I124326101"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raffaele Mascella","raw_affiliation_strings":["Faculty of Communication Sciences, University of Teramo, Teramo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Communication Sciences, University of Teramo, Teramo, Italy","institution_ids":["https://openalex.org/I124326101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002622368","display_name":"Luca G. Tallini","orcid":"https://orcid.org/0000-0003-4238-173X"},"institutions":[{"id":"https://openalex.org/I124326101","display_name":"University of Teramo","ror":"https://ror.org/01yetye73","country_code":"IT","type":"education","lineage":["https://openalex.org/I124326101"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Tallini","raw_affiliation_strings":["Faculty of Communication Sciences, University of Teramo, Teramo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Communication Sciences, University of Teramo, Teramo, Italy","institution_ids":["https://openalex.org/I124326101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124326101"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09581019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","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":0.9991999864578247,"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":0.9991999864578247,"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":0.9805999994277954,"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"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.732135534286499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027815341949463},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5936194062232971},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5667176842689514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5265921950340271},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49695685505867004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33046025037765503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25586700439453125}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.732135534286499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027815341949463},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5936194062232971},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5667176842689514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5265921950340271},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49695685505867004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33046025037765503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25586700439453125},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec48606.2020.9185594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.unite.it:11575/109569","is_oa":false,"landing_page_url":"http://hdl.handle.net/11575/109569","pdf_url":null,"source":{"id":"https://openalex.org/S4306401171","display_name":"UniTERAMO Research Catalog (University of Teramo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124326101","host_organization_name":"University of Teramo","host_organization_lineage":["https://openalex.org/I124326101"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7200000286102295,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W883434633","https://openalex.org/W1902116974","https://openalex.org/W1993885071","https://openalex.org/W2022912942","https://openalex.org/W2031183907","https://openalex.org/W2058215180","https://openalex.org/W2061438946","https://openalex.org/W2109364787","https://openalex.org/W2151554678","https://openalex.org/W2156194072","https://openalex.org/W2287814884","https://openalex.org/W2340577499","https://openalex.org/W2497817005","https://openalex.org/W2738900493","https://openalex.org/W2792689221","https://openalex.org/W2801536506","https://openalex.org/W2810185300","https://openalex.org/W2883013658","https://openalex.org/W2889803518","https://openalex.org/W2900271993","https://openalex.org/W2901565516","https://openalex.org/W2910313370","https://openalex.org/W2919054863","https://openalex.org/W2921340059","https://openalex.org/W2921575212","https://openalex.org/W2963103847","https://openalex.org/W2965322951","https://openalex.org/W2979500989","https://openalex.org/W2979753287","https://openalex.org/W2981240931","https://openalex.org/W2992674204","https://openalex.org/W4232047017","https://openalex.org/W6754135732","https://openalex.org/W6756755497"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W2378211422","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283"],"abstract_inverted_index":{"Salp":[0,52],"Swarm":[1,53],"Algorithm":[2,54],"(SSA)":[3],"is":[4,15,56,101],"a":[5,49,68,79,90],"novel":[6,80],"swarm":[7],"technique":[8],"using":[9],"to":[10,72,83,93,125,137],"optimize":[11],"design":[12],"problems.":[13],"SSA":[14,36],"inspired":[16],"by":[17],"the":[18,25,61,65,74,76,85,95,119,126],"swarming":[19],"behavior":[20],"of":[21,28,32,60,67,78,87,121,131],"salp":[22],"observed":[23],"in":[24,129],"deep":[26],"area":[27],"sea.":[29],"In":[30,46],"spite":[31],"its":[33],"application":[34],"versatility,":[35],"suffers":[37],"from":[38],"mediocre":[39],"convergence":[40,96,134],"rate":[41],"and":[42,89,105,109,133],"limited":[43],"exploratory":[44],"capabilities.":[45],"this":[47],"paper,":[48],"Fitness":[50],"Dependent":[51],"(FDSSA)":[55],"proposed.":[57],"The":[58,98,116],"novelties":[59],"proposed":[62],"approach":[63],"are":[64],"definition":[66],"fitness":[69],"coefficient":[70],"able":[71],"enhance":[73],"exploration,":[75],"introduction":[77],"mathematical":[81],"model":[82],"describe":[84],"trajectory":[86],"salps":[88],"mutation":[91],"mechanism":[92],"increase":[94],"speed.":[97],"designed":[99],"algorithm":[100],"tested":[102],"on":[103],"unimodal":[104],"multimodal":[106],"benchmark":[107],"functions":[108],"then":[110],"compared":[111],"with":[112,123],"well-known":[113],"heuristic":[114],"algorithms.":[115],"results":[117],"show":[118],"superiority":[120],"FDSSA":[122],"respect":[124],"comparison":[127],"algorithms":[128],"terms":[130],"optimization":[132],"performances":[135],"according":[136],"their":[138],"computational":[139],"complexity.":[140]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
