{"id":"https://openalex.org/W2118841100","doi":"https://doi.org/10.1109/ijcnn.2005.1556046","title":"Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning","display_name":"Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W2118841100","doi":"https://doi.org/10.1109/ijcnn.2005.1556046","mag":"2118841100"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556046","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/1376/1/Real-coded%20genetic%20algorithm_05.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079852457","display_name":"Sai Ho Ling","orcid":"https://orcid.org/0000-0003-0849-5098"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"S.H. Ling","raw_affiliation_strings":["Centre of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Centre of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056524805","display_name":"F.H.F. Leung","orcid":"https://orcid.org/0000-0003-3921-7074"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"F.H.F. Leung","raw_affiliation_strings":["Centre of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Centre of Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079852457"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.9122,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72996516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1325","last_page":"1330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937000274658203,"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/T10320","display_name":"Neural Networks and Applications","score":0.9937000274658203,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9905999898910522,"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":0.972000002861023,"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/crossover","display_name":"Crossover","score":0.907435417175293},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7246261835098267},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.6991946697235107},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6746894121170044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674957275390625},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6019589900970459},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6002130508422852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5105372667312622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.463463693857193},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.447476327419281},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.4278448820114136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2649931311607361},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06237998604774475}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.907435417175293},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7246261835098267},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.6991946697235107},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6746894121170044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674957275390625},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6019589900970459},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6002130508422852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5105372667312622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.463463693857193},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.447476327419281},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.4278448820114136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2649931311607361},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06237998604774475},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556046","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/1376","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/1376","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/1376/1/Real-coded%20genetic%20algorithm_05.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.999.2796","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.999.2796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ira.lib.polyu.edu.hk/bitstream/10397/1376/1/Real-coded%20genetic%20algorithm_05.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/1376","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/1376","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/1376/1/Real-coded%20genetic%20algorithm_05.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2118841100.pdf","grobid_xml":"https://content.openalex.org/works/W2118841100.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W46478508","https://openalex.org/W1565902586","https://openalex.org/W1997600725","https://openalex.org/W2108604074","https://openalex.org/W2116424792","https://openalex.org/W2124290836","https://openalex.org/W2128159432","https://openalex.org/W2577770140","https://openalex.org/W2920943913","https://openalex.org/W4255272544","https://openalex.org/W4300886904","https://openalex.org/W6731938624"],"related_works":["https://openalex.org/W2014162767","https://openalex.org/W2115729582","https://openalex.org/W2046083801","https://openalex.org/W2367260997","https://openalex.org/W2115861895","https://openalex.org/W2373079942","https://openalex.org/W2031035514","https://openalex.org/W2385808795","https://openalex.org/W2353368228","https://openalex.org/W2375052855"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,23,33,38,46,62,65,81,86],"learning":[4,82],"of":[5,54,64],"neural":[6,75],"network":[7,76],"parameters":[8],"using":[9],"a":[10],"real-coded":[11],"genetic":[12,35,50],"algorithm":[13],"(RCGA)":[14],"with":[15,48],"proposed":[16,34,66,87],"crossover":[17,25],"and":[18,27,41],"mutation.":[19],"They":[20],"are":[21,43,58],"called":[22],"average-bound":[24],"(AveBXover)":[26],"wavelet":[28],"mutation":[29],"(WM).":[30],"By":[31],"introducing":[32],"operations,":[36],"both":[37],"solution":[39],"quality":[40],"stability":[42],"better":[44],"than":[45],"RCGA":[47],"conventional":[49],"operations.":[51],"A":[52],"suite":[53],"benchmark":[55],"test":[56],"functions":[57],"used":[59,78],"to":[60,79],"evaluate":[61],"performance":[63,83],"algorithm.":[67],"An":[68],"application":[69],"example":[70],"on":[71],"an":[72],"associative":[73],"memory":[74],"is":[77],"show":[80],"brought":[84],"by":[85],"RCGA.":[88]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}