{"id":"https://openalex.org/W7138349941","doi":"https://doi.org/10.1609/aaai.v40i17.38438","title":"Constraint Optimization of MicroPlate Designs","display_name":"Constraint Optimization of MicroPlate Designs","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138349941","doi":"https://doi.org/10.1609/aaai.v40i17.38438"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i17.38438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38438/42400","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38438/42400","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090063355","display_name":"Ramiz Gindullin","orcid":"https://orcid.org/0000-0003-4947-9641"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ramiz Gindullin","raw_affiliation_strings":["Uppsala University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uppsala University","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123853506","display_name":"Mar\u00eda  Andre\u00edna Francisco Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Andre\u00edna Francisco Rodr\u00edguez","raw_affiliation_strings":["Uppsala University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uppsala University","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38513514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"17","first_page":"14243","last_page":"14250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.25029999017715454,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.25029999017715454,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10672","display_name":"Design Education and Practice","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.06960000097751617,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.7261999845504761},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6302000284194946},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4982999861240387},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4523000121116638},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.39969998598098755},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.38190001249313354}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7261999845504761},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6302000284194946},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5471000075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135999917984009},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39169999957084656},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3244999945163727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3116999864578247},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i17.38438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38438/42400","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38438","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i17.38438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38438/42400","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138349941.pdf","grobid_xml":"https://content.openalex.org/works/W7138349941.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Standardized":[0],"microplates":[1],"are":[2,58],"used":[3],"to":[4,37,70],"conduct":[5],"large-scale":[6],"biomedical":[7],"research.":[8],"The":[9,43],"design":[10],"of":[11,29,46,52,92,104],"microplate":[12,82],"layouts":[13,51],"plays":[14],"an":[15],"essential":[16],"role":[17],"in":[18],"handling":[19],"so-called":[20],"plate":[21,41,73],"effects,":[22],"i.e.,":[23],"systematic":[24],"variations":[25],"across":[26],"the":[27,105],"geometry":[28],"a":[30,66],"microplate.":[31],"An":[32],"effective":[33,72],"layout":[34],"allows":[35,97],"us":[36],"detect":[38],"and":[39,48,101],"negate":[40],"effects.":[42],"randomized":[44],"placement":[45],"controls":[47],"compounds":[49],"produces":[50],"limited":[53],"effectiveness,":[54],"so":[55],"specific":[56],"approaches":[57],"needed.":[59],"A":[60],"previously":[61],"developed":[62],"system,":[63],"PLAID,":[64,87],"proposed":[65],"constraint":[67],"satisfaction":[68],"model":[69],"construct":[71],"layouts.":[74,106],"However,":[75],"PLAID":[76],"does":[77],"not":[78],"scale":[79],"well":[80],"with":[81],"dimensions.":[83],"To":[84],"improve":[85],"on":[86],"we":[88],"propose":[89],"Constraint":[90],"Optimization":[91],"MicroPlate":[93],"Designs":[94],"(COMPD),":[95],"which":[96],"for":[98],"greater":[99],"flexibility":[100],"higher":[102],"quality":[103]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2026-03-18T00:00:00"}
