{"id":"https://openalex.org/W2890423107","doi":"https://doi.org/10.1109/jcsse.2018.8457386","title":"Exploiting Building Blocks in Hard Problems with Modified Compact Genetic Algorithm","display_name":"Exploiting Building Blocks in Hard Problems with Modified Compact Genetic Algorithm","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2890423107","doi":"https://doi.org/10.1109/jcsse.2018.8457386","mag":"2890423107"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2018.8457386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2018.8457386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050036222","display_name":"Kamonluk Suksen","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kamonluk Suksen","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047981471","display_name":"Prabhas Chongstitvatana","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Prabhas Chongstitvatana","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9959999918937683,"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.7216774821281433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627572774887085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5695896148681641},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.51518714427948},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.48884743452072144},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4666846692562103},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46642690896987915},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.440224826335907},{"id":"https://openalex.org/keywords/cultural-algorithm","display_name":"Cultural algorithm","score":0.43336617946624756},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.42702776193618774},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42407166957855225},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4166932702064514},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.34531915187835693},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.3265870213508606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2612094283103943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.156284898519516}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7216774821281433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627572774887085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5695896148681641},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.51518714427948},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.48884743452072144},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4666846692562103},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46642690896987915},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.440224826335907},{"id":"https://openalex.org/C5536111","wikidata":"https://www.wikidata.org/wiki/Q5193250","display_name":"Cultural algorithm","level":4,"score":0.43336617946624756},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42702776193618774},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42407166957855225},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4166932702064514},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34531915187835693},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.3265870213508606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2612094283103943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.156284898519516},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse.2018.8457386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2018.8457386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W329913983","https://openalex.org/W1497256448","https://openalex.org/W1507599800","https://openalex.org/W1558876224","https://openalex.org/W1659842140","https://openalex.org/W2126419021","https://openalex.org/W2139400137","https://openalex.org/W2144946595","https://openalex.org/W2148379945","https://openalex.org/W2533414057","https://openalex.org/W2533480101","https://openalex.org/W2575551765","https://openalex.org/W2904250082","https://openalex.org/W3023540311","https://openalex.org/W4301173492","https://openalex.org/W6728526692"],"related_works":["https://openalex.org/W3149308343","https://openalex.org/W4241522606","https://openalex.org/W2064754602","https://openalex.org/W2169387204","https://openalex.org/W2349880012","https://openalex.org/W4360996914","https://openalex.org/W2593396344","https://openalex.org/W2998167408","https://openalex.org/W4383567434","https://openalex.org/W3202376666"],"abstract_inverted_index":{"In":[0,15],"Evolutionary":[1],"Computation,":[2],"good":[3,9],"substructures":[4],"that":[5,38,61,79,100,147],"are":[6,11,20],"combined":[7],"into":[8],"solutions":[10,52],"called":[12],"building":[13,18,63,84,102,110,152],"blocks.":[14,85,111,153],"this":[16],"context,":[17],"blocks":[19,64,103],"common":[21,145],"structure":[22],"of":[23,34,43,98,108,113,132],"high-":[24],"quality":[25],"solutions.":[26],"The":[27,86],"compact":[28,66,120],"genetic":[29,36,67,121],"algorithm":[30,37,60,68,116,122],"is":[31,89,137],"an":[32,59],"extension":[33],"the":[35,40,77,92,106,109,114,130,133,141],"replaces":[39],"latter's":[41],"population":[42],"chromosomes":[44],"with":[45,65,117],"a":[46,96,118],"probability":[47,93],"distribution":[48],"from":[49],"which":[50],"candidate":[51],"can":[53,148],"be":[54,149],"generated.":[55],"This":[56],"paper":[57],"describes":[58],"exploits":[62],"in":[69],"order":[70],"to":[71,90],"solve":[72],"difficult":[73],"optimization":[74],"problems":[75,128],"under":[76],"assumption":[78],"we":[80],"have":[81,144],"already":[82],"known":[83],"main":[87],"idea":[88],"update":[91],"vectors":[94],"as":[95,151],"group":[97],"bits":[99],"represents":[101],"thus":[104],"avoiding":[105],"disruption":[107],"Comparisons":[112],"new":[115],"conventional":[119],"on":[123],"trap-function":[124],"and":[125],"traveling":[126],"salesman":[127],"indicate":[129],"utility":[131],"proposed":[134],"algorithm.":[135],"It":[136],"most":[138],"effective":[139],"when":[140],"problem":[142],"instants":[143],"structures":[146],"identify":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}