{"id":"https://openalex.org/W2783083351","doi":"https://doi.org/10.1109/cdc.2017.8264465","title":"Event-triggered interactive gradient descent for real-time multi-objective optimization","display_name":"Event-triggered interactive gradient descent for real-time multi-objective optimization","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783083351","doi":"https://doi.org/10.1109/cdc.2017.8264465","mag":"2783083351"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2017.8264465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","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/A5086848492","display_name":"Pio Ong","orcid":"https://orcid.org/0000-0002-9665-1320"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pio Ong","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027913099","display_name":"Jorge Cort\u00e9s","orcid":"https://orcid.org/0000-0001-9582-5184"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Cortes","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"5445","last_page":"5450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10791","display_name":"Advanced Control Systems Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.6687353253364563},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5925199389457703},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5884466767311096},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.585495114326477},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.563318133354187},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5436456203460693},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5204787254333496},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5004611015319824},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.47546690702438354},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4706308841705322},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.444539338350296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27326691150665283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2129667103290558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2099626660346985},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0823931097984314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687353253364563},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5925199389457703},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5884466767311096},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.585495114326477},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.563318133354187},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5436456203460693},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5204787254333496},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5004611015319824},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.47546690702438354},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4706308841705322},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.444539338350296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27326691150665283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2129667103290558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2099626660346985},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0823931097984314},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2017.8264465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1861933864","https://openalex.org/W1978518835","https://openalex.org/W1985235885","https://openalex.org/W1992942450","https://openalex.org/W2057929279","https://openalex.org/W2080413870","https://openalex.org/W2080801182","https://openalex.org/W2100489524","https://openalex.org/W2101431131","https://openalex.org/W2116601658","https://openalex.org/W2153206388","https://openalex.org/W2306366609","https://openalex.org/W2477175076","https://openalex.org/W4235967258","https://openalex.org/W4250589301","https://openalex.org/W6682685562"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1588199609","https://openalex.org/W2744462909","https://openalex.org/W1971520370","https://openalex.org/W1550055091"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,39],"event-triggered":[4,83],"interactive":[5],"gradient":[6],"descent":[7],"method":[8],"for":[9],"solving":[10],"multi-objective":[11,140],"optimization":[12,40,141],"problems.":[13],"We":[14,81],"consider":[15],"scenarios":[16],"where":[17],"a":[18,24,27,45,122],"human":[19,43,66,93,108],"decision":[20],"maker":[21],"works":[22],"with":[23,113],"robot":[25,88],"in":[26,30,71],"supervisory":[28],"manner":[29],"order":[31],"to":[32,38,54,77,89,135],"find":[33],"the":[34,50,55,65,87,92,104,107,119,127,132,136,139],"best":[35],"Pareto":[36],"solution":[37,137],"problem.":[41,142],"The":[42],"has":[44],"time-invariant":[46],"function":[47,60],"that":[48,64,85],"represents":[49],"value":[51],"she":[52],"gives":[53],"different":[56],"outcomes.":[57],"However,":[58],"this":[59],"is":[61],"implicit,":[62],"meaning":[63],"does":[67],"not":[68],"know":[69],"it":[70],"closed":[72],"form,":[73],"but":[74],"can":[75,109],"respond":[76],"queries":[78],"about":[79,94],"it.":[80],"provide":[82],"designs":[84],"allow":[86],"efficiently":[90],"query":[91],"her":[95],"preferences":[96],"at":[97],"discrete":[98],"instants":[99],"of":[100,121,131,138],"time.":[101],"For":[102],"both":[103],"cases":[105],"when":[106],"answer":[110],"instantaneously":[111],"and":[112,126],"some":[114],"bounded":[115],"delay,":[116],"we":[117],"establish":[118],"existence":[120],"minimum":[123],"interexecution":[124],"time":[125],"global":[128],"asymptotic":[129],"convergence":[130],"resulting":[133],"executions":[134]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}