{"id":"https://openalex.org/W2968218647","doi":"https://doi.org/10.1109/cec.2019.8790089","title":"Enhanced Water Cycle Algorithm with Active Learning and Return Strategy","display_name":"Enhanced Water Cycle Algorithm with Active Learning and Return Strategy","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968218647","doi":"https://doi.org/10.1109/cec.2019.8790089","mag":"2968218647"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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/A5103045020","display_name":"Caihua Chen","orcid":"https://orcid.org/0000-0001-8057-3690"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caihua Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396091","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8745-320X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845210","display_name":"Huachao Dong","orcid":"https://orcid.org/0000-0002-2471-3545"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huachao Dong","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101839607","display_name":"Xinjing Wang","orcid":"https://orcid.org/0000-0002-4110-7811"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjing Wang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1446,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57839887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"634","last_page":"640"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9861999750137329,"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":0.921999990940094,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8876554369926453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937683820724487},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.572670042514801},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4912685751914978},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.474477082490921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4722667932510376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44140541553497314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44039803743362427},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4303065538406372},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4153198003768921},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36050665378570557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15099868178367615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1455112099647522}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8876554369926453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937683820724487},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.572670042514801},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4912685751914978},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.474477082490921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4722667932510376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44140541553497314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44039803743362427},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4303065538406372},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4153198003768921},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36050665378570557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15099868178367615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1455112099647522},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1722061900","https://openalex.org/W1996936084","https://openalex.org/W2065731394","https://openalex.org/W2073117529","https://openalex.org/W2096673585","https://openalex.org/W2150923807","https://openalex.org/W2152195021","https://openalex.org/W2156194072","https://openalex.org/W2169934304","https://openalex.org/W2170400052","https://openalex.org/W2182761707","https://openalex.org/W2543580944","https://openalex.org/W2609031355","https://openalex.org/W2795621792"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2930320701"],"abstract_inverted_index":{"In":[0,100],"order":[1,101],"to":[2,34,102,131,149],"improve":[3,36],"the":[4,17,37,41,97,104,122,133,141,150],"performance":[5],"of":[6,40,47,81,118,135],"Water":[7],"Cycle":[8],"Algorithm":[9],"(WCA),":[10],"an":[11,52],"alternative":[12],"adaptation":[13],"approach":[14,33,45,143],"for":[15,56],"enhancing":[16],"global":[18],"searching":[19],"ability":[20],"is":[21],"proposed.":[22],"The":[23,43,68],"proposed":[24,44,142],"algorithm,":[25],"named":[26],"WCA-ALR,":[27],"uses":[28],"a":[29,61,74,84,116],"new":[30],"diversity":[31],"enhancement":[32],"effectively":[35],"exploration":[38,98],"capability":[39],"WCA.":[42,152],"consists":[46],"two":[48],"major":[49],"modifications:":[50],"(1)":[51],"active":[53],"selection":[54],"method":[55],"choosing":[57],"learning":[58,75,82],"targets;":[59],"(2)":[60],"promising":[62,88],"position":[63,89],"sifting":[64,90],"and":[65,91,126],"returning":[66,92],"strategy.":[67],"benefits":[69],"prove":[70,132],"that":[71,80,140],"actively":[72],"selecting":[73],"target":[76],"performs":[77],"better":[78,146],"than":[79],"from":[83,121],"fixed":[85],"one.":[86],"A":[87],"strategy":[93],"can":[94,144],"also":[95],"enhance":[96],"ability.":[99],"verify":[103],"performance,":[105],"numerical":[106],"experiments":[107],"on":[108,124],"five":[109],"basic":[110],"benchmark":[111,119],"problems":[112,120],"are":[113,129],"conducted.":[114],"Then,":[115],"set":[117],"CEC2017":[123],"10":[125],"30":[127],"dimensions":[128],"used":[130],"effectiveness":[134],"WCA-ALR.":[136],"Experimental":[137],"results":[138],"affirm":[139],"obtain":[145],"results,":[147],"compared":[148],"original":[151]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
