{"id":"https://openalex.org/W3109914224","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263578","title":"A Shuffled Frog Leaping Algorithm based on the Improved Simplex Method","display_name":"A Shuffled Frog Leaping Algorithm based on the Improved Simplex Method","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109914224","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263578","mag":"3109914224"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101900405","display_name":"Lianguo Wang","orcid":"https://orcid.org/0000-0002-9868-3510"},"institutions":[{"id":"https://openalex.org/I16295237","display_name":"Gansu Agricultural University","ror":"https://ror.org/05ym42410","country_code":"CN","type":"education","lineage":["https://openalex.org/I16295237"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianguo Wang","raw_affiliation_strings":["Gansu Agricultural University,College of Information Science and Technology,Lanzhou,China","College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Gansu Agricultural University,College of Information Science and Technology,Lanzhou,China","institution_ids":["https://openalex.org/I16295237"]},{"raw_affiliation_string":"College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China","institution_ids":["https://openalex.org/I16295237"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101900405"],"corresponding_institution_ids":["https://openalex.org/I16295237"],"apc_list":null,"apc_paid":null,"fwci":0.1423,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50082282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"10","issue":null,"first_page":"1020","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9986000061035156,"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":0.9986000061035156,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9796000123023987,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/simplex-algorithm","display_name":"Simplex algorithm","score":0.7547822594642639},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6223810911178589},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5436221957206726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5419498682022095},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.5356675386428833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31028175354003906},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.28832465410232544}],"concepts":[{"id":"https://openalex.org/C144521790","wikidata":"https://www.wikidata.org/wiki/Q134164","display_name":"Simplex algorithm","level":3,"score":0.7547822594642639},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6223810911178589},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5436221957206726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419498682022095},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.5356675386428833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31028175354003906},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.28832465410232544},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/441854","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/441854","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324782","display_name":"Gansu Agricultural University","ror":"https://ror.org/05ym42410"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1563347681","https://openalex.org/W1997600725","https://openalex.org/W2096325680","https://openalex.org/W2106905228","https://openalex.org/W2120830579","https://openalex.org/W2122159448","https://openalex.org/W2514212459","https://openalex.org/W2626514104","https://openalex.org/W2791689781","https://openalex.org/W2919406255","https://openalex.org/W2938696451","https://openalex.org/W2983298696","https://openalex.org/W3003655920","https://openalex.org/W3006129658","https://openalex.org/W3009937607"],"related_works":["https://openalex.org/W2185826091","https://openalex.org/W2048470382","https://openalex.org/W2385011829","https://openalex.org/W2477407501","https://openalex.org/W2384679317","https://openalex.org/W2911215968","https://openalex.org/W1570109187","https://openalex.org/W1583787753","https://openalex.org/W2491692165","https://openalex.org/W2366013513"],"abstract_inverted_index":{"The":[0],"shuffled":[1,30,90,121,168],"frog":[2,31,91,122,169],"leaping":[3,32,92,123,170],"algorithm":[4,33,93,124,171],"is":[5],"easily":[6],"sunk":[7],"into":[8],"local":[9,86,127,145],"optimum":[10],"and":[11,60,67,74,94,125,144],"not":[12],"enough":[13],"accurate":[14],"when":[15],"optimizing":[16],"the":[17,36,45,80,85,110,117,126,149,160,167,174],"problem":[18],"of":[19,26,48,89,112,120,130,148,162],"some":[20],"higher":[21,179],"dimensional":[22],"functions.":[23],"In":[24],"view":[25],"these":[27],"shortcomings,":[28],"a":[29,64,99,106,138],"based":[34,172],"on":[35,98,173],"improved":[37,52],"simplex":[38,49,96,132,176],"method":[39,50,97,177],"was":[40,51],"presented.":[41],"To":[42],"begin":[43],"with,":[44],"search":[46,119,128,143,146],"ability":[47,129,147],"by":[53],"generating":[54],"randomly":[55],"reflection":[56],"coefficient,":[57],"expansion":[58],"coefficient":[59,62],"compression":[61],"within":[63],"given":[65],"range,":[66],"adding":[68],"escape":[69],"behavior,":[70],"greedy":[71],"selection":[72],"strategy":[73],"small-probability":[75],"dimension":[76],"mutation":[77],"operator":[78],"in":[79,109],"edge":[81],"reduction":[82],"operation.":[83],"Then,":[84],"update":[87],"strategies":[88],"modified":[95,131,175],"small":[100],"scale":[101],"were":[102],"executed":[103],"according":[104],"to":[105,136],"certain":[107],"probability":[108],"times":[111],"mixed":[113],"iteration,":[114],"which":[115],"combined":[116],"global":[118,142],"method,":[133],"so":[134],"as":[135],"have":[137],"better":[139],"balance":[140],"between":[141],"put":[150],"forward":[151],"algorithm,":[152],"eventually":[153],"enhanced":[154],"its":[155],"optimization":[156,180],"performance.":[157,181],"At":[158],"last,":[159],"results":[161],"simulation":[163],"experiments":[164],"showed":[165],"that":[166],"had":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}