{"id":"https://openalex.org/W1534044306","doi":"https://doi.org/10.1109/cec.2005.1554865","title":"PCB Assembly: An Efficient Genetic Algorithm for Slot Assignment and Component Pick and Place Sequence Problems","display_name":"PCB Assembly: An Efficient Genetic Algorithm for Slot Assignment and Component Pick and Place Sequence Problems","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1534044306","doi":"https://doi.org/10.1109/cec.2005.1554865","mag":"1534044306"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5018308542","display_name":"Abel Garc\u00eda-N\u00e1jera","orcid":"https://orcid.org/0000-0002-3220-0782"},"institutions":[{"id":"https://openalex.org/I64663401","display_name":"Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada","ror":"https://ror.org/04znhwb73","country_code":"MX","type":"facility","lineage":["https://openalex.org/I64663401"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"A. Garcia-Najera","raw_affiliation_strings":["Computer Sciences Department, CICESE Research Center, Ensenada, B. C., M\u00e9xico","Department of Computer Science, CICESE Research Center, Ensenada, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Sciences Department, CICESE Research Center, Ensenada, B. C., M\u00e9xico","institution_ids":["https://openalex.org/I64663401"]},{"raw_affiliation_string":"Department of Computer Science, CICESE Research Center, Ensenada, M\u00e9xico","institution_ids":["https://openalex.org/I64663401"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075390665","display_name":"Carlos A. Brizuela","orcid":"https://orcid.org/0000-0003-4621-0380"},"institutions":[{"id":"https://openalex.org/I64663401","display_name":"Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada","ror":"https://ror.org/04znhwb73","country_code":"MX","type":"facility","lineage":["https://openalex.org/I64663401"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"C.A. Brizuela","raw_affiliation_strings":["Computer Sciences Department, CICESE Research Center, Ensenada, B. C., M\u00e9xico","Department of Computer Science, CICESE Research Center, Ensenada, M\u00e9xico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Sciences Department, CICESE Research Center, Ensenada, B. C., M\u00e9xico","institution_ids":["https://openalex.org/I64663401"]},{"raw_affiliation_string":"Department of Computer Science, CICESE Research Center, Ensenada, M\u00e9xico","institution_ids":["https://openalex.org/I64663401"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I64663401"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.07699665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1485","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.8443612456321716},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8236664533615112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582008004188538},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6556355953216553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6437044739723206},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.643581748008728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6428034901618958},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.613056480884552},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5959539413452148},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.492002934217453},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.41480904817581177},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38165634870529175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21706867218017578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1948004961013794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09382027387619019}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8443612456321716},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8236664533615112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582008004188538},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6556355953216553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6437044739723206},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.643581748008728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6428034901618958},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.613056480884552},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5959539413452148},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.492002934217453},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.41480904817581177},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38165634870529175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21706867218017578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1948004961013794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09382027387619019},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2005.1554865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W34988","https://openalex.org/W1498178627","https://openalex.org/W1507363803","https://openalex.org/W1592920672","https://openalex.org/W1650353792","https://openalex.org/W1805340027","https://openalex.org/W1836977276","https://openalex.org/W1963035939","https://openalex.org/W1964581121","https://openalex.org/W1967093161","https://openalex.org/W2009175695","https://openalex.org/W2015391636","https://openalex.org/W2027479588","https://openalex.org/W2045134746","https://openalex.org/W2045552037","https://openalex.org/W2052670433","https://openalex.org/W2061744839","https://openalex.org/W2080085470","https://openalex.org/W2089099831","https://openalex.org/W2096590200","https://openalex.org/W2114180160","https://openalex.org/W2122098859","https://openalex.org/W2134952576","https://openalex.org/W2148590668","https://openalex.org/W2159507672","https://openalex.org/W2169369631","https://openalex.org/W4387688680","https://openalex.org/W6630399596","https://openalex.org/W6635442680","https://openalex.org/W6638539024","https://openalex.org/W6638652084"],"related_works":["https://openalex.org/W2993471286","https://openalex.org/W2014162767","https://openalex.org/W2155753975","https://openalex.org/W2115729582","https://openalex.org/W1535132062","https://openalex.org/W765698016","https://openalex.org/W2138289358","https://openalex.org/W4293324557","https://openalex.org/W2783469018","https://openalex.org/W1988293173"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,72],"the":[4,16,28,39,46,81,89],"PCB":[5],"assembly":[6],"problem.":[7,17,47],"We":[8,69],"propose":[9,50],"an":[10],"efficient":[11],"genetic":[12],"algorithm":[13,19,37,61],"to":[14,27,62],"solve":[15,63],"The":[18],"uses":[20],"well-known":[21],"crossover":[22],"and":[23,58],"mutation":[24],"operators":[25],"adapted":[26],"specific":[29],"representation":[30],"used.":[31],"Computational":[32],"experiments":[33],"show":[34],"that":[35],"our":[36,60],"improves":[38],"state-of-the-art":[40],"result":[41],"on":[42,66],"a":[43,51,76],"benchmark":[44],"for":[45,55,84],"Furthermore,":[48],"we":[49,87],"set":[52],"of":[53],"benchmarks":[54],"this":[56,67],"problem":[57],"apply":[59],"each":[64,85],"instance":[65],"set.":[68],"compare":[70],"results":[71],"those":[73],"produced":[74],"by":[75],"method":[77],"widely":[78],"used":[79],"in":[80],"industry":[82],"and,":[83],"instance,":[86],"obtain":[88],"best":[90],"result.":[91]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}