{"id":"https://openalex.org/W2563614715","doi":"https://doi.org/10.1109/icfsp.2016.7802946","title":"An Opposition-Based Chaos Shuffled Frog Leaping Algorithm","display_name":"An Opposition-Based Chaos Shuffled Frog Leaping Algorithm","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2563614715","doi":"https://doi.org/10.1109/icfsp.2016.7802946","mag":"2563614715"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp.2016.7802946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2016.7802946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","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/A5100356743","display_name":"Xiaodan Zhang","orcid":"https://orcid.org/0000-0001-7581-7945"},"institutions":[{"id":"https://openalex.org/I4210139553","display_name":"Research Institute of Highway","ror":"https://ror.org/0335kqk33","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216","https://openalex.org/I4210139553"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodan Zhang","raw_affiliation_strings":["Highway Traffic Safety Engineering Research Center, Research Institute of Highway Ministry of Transport, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Highway Traffic Safety Engineering Research Center, Research Institute of Highway Ministry of Transport, Beijing, China","institution_ids":["https://openalex.org/I4210139553","https://openalex.org/I4210127216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100356743"],"corresponding_institution_ids":["https://openalex.org/I4210127216","https://openalex.org/I4210139553"],"apc_list":null,"apc_paid":null,"fwci":0.4038,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71553995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12941","display_name":"Embedded Systems and FPGA Design","score":0.9569000005722046,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6919556856155396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5354447960853577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304958820343018},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5236594080924988},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5132963061332703},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3888870179653168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31930750608444214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30463287234306335}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6919556856155396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5354447960853577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304958820343018},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5236594080924988},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5132963061332703},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3888870179653168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31930750608444214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30463287234306335},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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":1,"locations":[{"id":"doi:10.1109/icfsp.2016.7802946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2016.7802946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2073082177","https://openalex.org/W2084993914","https://openalex.org/W2106905228","https://openalex.org/W2123682012","https://openalex.org/W2366297883","https://openalex.org/W2369361429","https://openalex.org/W2375933119","https://openalex.org/W2390632098","https://openalex.org/W7002495307","https://openalex.org/W7011641814","https://openalex.org/W7030271747"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2004708907","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2377429601"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,46],"overcome":[3],"the":[4,18,43,59,64,92,95,98,104],"defects":[5],"of":[6],"shuffled":[7,72],"frog":[8,53,60,73],"leaping":[9,54,74],"algorithm":[10],"(SFLA)":[11],"such":[12],"as":[13,101,103],"slow":[14],"searching":[15],"speed":[16],"in":[17,38,90],"late":[19],"evolution":[20],"and":[21,57],"easily":[22],"trapping":[23],"into":[24],"local":[25],"extremum,":[26],"an":[27,87],"Opposition-based":[28],"Chaos":[29],"Shuffled":[30],"Frog":[31],"Leaping":[32],"Algorithm":[33],"(OCSFLA)":[34],"was":[35],"originally":[36],"proposed":[37],"this":[39],"paper.":[40],"It":[41],"utilized":[42],"opposition":[44],"strategy":[45],"generate":[47],"initial":[48],"population,":[49],"adopted":[50],"a":[51,70],"modified":[52],"updating":[55],"formula,":[56],"combined":[58],"population":[61],"movement":[62],"with":[63],"chaotic":[65],"motion,":[66],"thus":[67],"putting":[68],"forward":[69],"chaos":[71],"optimization":[75,99],"model.":[76],"Tests":[77],"on":[78],"five":[79],"standard":[80],"test":[81],"functions":[82],"show":[83],"that":[84],"OCSFLA":[85],"has":[86],"obvious":[88],"improvement":[89],"whatever":[91],"convergence":[93,96],"precision,":[94],"speed,":[97],"time":[100],"well":[102],"stability.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}