{"id":"https://openalex.org/W2741398472","doi":"https://doi.org/10.24963/ijcai.2017/749","title":"Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming","display_name":"Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741398472","doi":"https://doi.org/10.24963/ijcai.2017/749","mag":"2741398472"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/749","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/749","pdf_url":"https://www.ijcai.org/proceedings/2017/0749.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0749.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002754104","display_name":"Cheng Fang","orcid":"https://orcid.org/0000-0002-3116-3553"},"institutions":[{"id":"https://openalex.org/I126820664","display_name":"Vassar College","ror":"https://ror.org/022x6qg61","country_code":"US","type":"education","lineage":["https://openalex.org/I126820664"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cheng Fang","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory 32 Vassar Street, Cambridge MA, 02139"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory 32 Vassar Street, Cambridge MA, 02139","institution_ids":["https://openalex.org/I126820664","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002754104"],"corresponding_institution_ids":["https://openalex.org/I126820664","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5179","last_page":"5180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9883999824523926,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.7493914365768433},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7225369215011597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625391244888306},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5444567799568176},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.5068395733833313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3972269296646118},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.2727312445640564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23960468173027039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21903276443481445},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.06391546130180359}],"concepts":[{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.7493914365768433},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7225369215011597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625391244888306},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5444567799568176},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.5068395733833313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3972269296646118},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.2727312445640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23960468173027039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21903276443481445},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.06391546130180359},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2017/749","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/749","pdf_url":"https://www.ijcai.org/proceedings/2017/0749.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/139908","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/139908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/749","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/749","pdf_url":"https://www.ijcai.org/proceedings/2017/0749.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741398472.pdf","grobid_xml":"https://content.openalex.org/works/W2741398472.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1542523037","https://openalex.org/W1970101292","https://openalex.org/W2123871098","https://openalex.org/W2229883475","https://openalex.org/W3005347330"],"related_works":["https://openalex.org/W2097415053","https://openalex.org/W1514298554","https://openalex.org/W1486916474","https://openalex.org/W4243324743","https://openalex.org/W1531664660","https://openalex.org/W2120647900","https://openalex.org/W1496100162","https://openalex.org/W4303044088","https://openalex.org/W1169406866","https://openalex.org/W4313469555"],"abstract_inverted_index":{"Resistance":[0],"to":[1,59],"adoption":[2],"of":[3,13,26,48],"autonomous":[4],"systems":[5],"comes":[6],"in":[7,31,63],"part":[8],"from":[9],"the":[10,14,24,46],"perceived":[11],"unreliability":[12],"systems.":[15],"Concerns":[16],"can":[17],"be":[18],"addressed":[19],"by":[20,36],"approaches":[21],"that":[22],"guarantee":[23],"probability":[25,47],"success.":[27],"This":[28,51],"is":[29],"achieved":[30],"chance-constrained":[32],"constraint":[33],"programming":[34],"(CC-CP)":[35],"imposing":[37],"constraints":[38],"required":[39],"for":[40],"success,":[41],"and":[42],"providing":[43],"upper-bounds":[44],"on":[45,55],"violating":[49],"constraints.":[50],"extended":[52],"abstract":[53],"reports":[54],"novel":[56],"uncertainty":[57],"representations":[58],"address":[60],"problems":[61],"prevalent":[62],"current":[64],"methods.":[65]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
