{"id":"https://openalex.org/W2099166815","doi":"https://doi.org/10.1109/iscas.2006.1693447","title":"Population Fitness Probability for Effectively Terminating the Evolution Operations of a Genetic Algorithm","display_name":"Population Fitness Probability for Effectively Terminating the Evolution Operations of a Genetic Algorithm","publication_year":2006,"publication_date":"2006-09-22","ids":{"openalex":"https://openalex.org/W2099166815","doi":"https://doi.org/10.1109/iscas.2006.1693447","mag":"2099166815"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2006.1693447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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/A5032866481","display_name":"Heng-Chou Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Heng-Chou Chen","raw_affiliation_strings":["Signal and Media Laboratories, Department of Electrical Engineering, National Chung Engineering University, Chiayi, Taiwan","Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chia-Yi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Signal and Media Laboratories, Department of Electrical Engineering, National Chung Engineering University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chia-Yi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081916701","display_name":"O.T.-C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"O.T.-C. Chen","raw_affiliation_strings":["Signal and Media Laboratories, Department of Electrical Engineering, National Chung Engineering University, Chiayi, Taiwan","Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chia-Yi, Taiwan"],"affiliations":[{"raw_affiliation_string":"Signal and Media Laboratories, Department of Electrical Engineering, National Chung Engineering University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Chung-Cheng Univ., Chia-Yi, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032866481"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11425245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"3766","last_page":"3769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9876999855041504,"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":0.97079998254776,"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/fitness-function","display_name":"Fitness function","score":0.81126868724823},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6760217547416687},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6651448607444763},{"id":"https://openalex.org/keywords/fitness-approximation","display_name":"Fitness approximation","score":0.6610203981399536},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6285479068756104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5490524768829346},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5356893539428711},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4464270770549774},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.43768078088760376},{"id":"https://openalex.org/keywords/fitness-proportionate-selection","display_name":"Fitness proportionate selection","score":0.4212881326675415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3969465494155884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3182726204395294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25769245624542236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2426002323627472},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.06625017523765564}],"concepts":[{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.81126868724823},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6760217547416687},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6651448607444763},{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.6610203981399536},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6285479068756104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5490524768829346},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5356893539428711},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4464270770549774},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.43768078088760376},{"id":"https://openalex.org/C99701942","wikidata":"https://www.wikidata.org/wiki/Q5455479","display_name":"Fitness proportionate selection","level":4,"score":0.4212881326675415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3969465494155884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3182726204395294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25769245624542236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2426002323627472},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.06625017523765564},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2006.1693447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2028569720","https://openalex.org/W2131960077","https://openalex.org/W2145340157","https://openalex.org/W2162232298","https://openalex.org/W6679831534"],"related_works":["https://openalex.org/W2050206882","https://openalex.org/W1571420718","https://openalex.org/W1622672652","https://openalex.org/W2542275932","https://openalex.org/W1995719995","https://openalex.org/W2090325564","https://openalex.org/W2017545286","https://openalex.org/W2547011672","https://openalex.org/W1483317606","https://openalex.org/W2367684891"],"abstract_inverted_index":{"A":[0,72],"probability":[1,28,96],"associated":[2],"with":[3,76],"the":[4,16,27,33,40,44,48,52,57,65,69,84,94],"population":[5,23,70,98],"fitness":[6,24],"is":[7,29,80],"used":[8],"in":[9],"a":[10,77],"genetic":[11,66,74],"algorithm":[12,75],"(GA)":[13],"to":[14,32,39,82],"terminate":[15],"evolution.":[17],"The":[18],"theoretically":[19],"probabilistic":[20],"derivation":[21],"of":[22,51,87,97],"reveals":[25],"that":[26],"inversely":[30],"proportional":[31,38],"individual":[34,46],"variation":[35],"and":[36,47,68,91],"directly":[37],"evolving":[41],"error":[42],"between":[43,64],"average":[45],"global":[49,85],"optimum":[50],"objective":[53,89],"function.":[54],"Based":[55],"on":[56],"probability,":[58],"GA":[59],"switches":[60],"its":[61],"operation":[62,67],"mode":[63],"regeneration.":[71],"modified":[73],"termination":[78],"strategy":[79],"proposed":[81,95],"find":[83],"optima":[86],"five":[88],"functions":[90],"thus":[92],"validate":[93],"fitness.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}