{"id":"https://openalex.org/W4225276687","doi":"https://doi.org/10.1109/icassp43922.2022.9746626","title":"Proximal-Based Adaptive Simulated Annealing for Global Optimization","display_name":"Proximal-Based Adaptive Simulated Annealing for Global Optimization","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225276687","doi":"https://doi.org/10.1109/icassp43922.2022.9746626"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746626","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/ee2e11c2-9681-433f-b697-506d0bcd507f","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085457077","display_name":"Thomas Guilmeau","orcid":"https://orcid.org/0000-0002-8484-6550"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thomas Guilmeau","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay,CentraleSup&#x00E9;lec, Inria, CVN,Gif-sur-Yvette,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay,CentraleSup&#x00E9;lec, Inria, CVN,Gif-sur-Yvette,France","institution_ids":["https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062777204","display_name":"\u00c9milie Chouzenoux","orcid":"https://orcid.org/0000-0003-3631-6093"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emilie Chouzenoux","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay,CentraleSup&#x00E9;lec, Inria, CVN,Gif-sur-Yvette,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay,CentraleSup&#x00E9;lec, Inria, CVN,Gif-sur-Yvette,France","institution_ids":["https://openalex.org/I4210107720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Elvira","raw_affiliation_strings":["University of Edinburgh,School of Mathematics,United Kingdom","The Alan Turing Institute, United Kingdom","School of Mathematics, University of Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh,School of Mathematics,United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"The Alan Turing Institute, United Kingdom","institution_ids":["https://openalex.org/I4210128584"]},{"raw_affiliation_string":"School of Mathematics, University of Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085457077"],"corresponding_institution_ids":["https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":0.2063,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48791594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"5453","last_page":"5457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/simulated-annealing","display_name":"Simulated annealing","score":0.7909841537475586},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6591722965240479},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.6287175416946411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737959146499634},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5705418586730957},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5648965239524841},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5090227127075195},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49130359292030334},{"id":"https://openalex.org/keywords/adaptive-simulated-annealing","display_name":"Adaptive simulated annealing","score":0.48804771900177},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47190648317337036},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4658566117286682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45547011494636536},{"id":"https://openalex.org/keywords/boltzmann-constant","display_name":"Boltzmann constant","score":0.44788238406181335},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4313565790653229},{"id":"https://openalex.org/keywords/boltzmann-distribution","display_name":"Boltzmann distribution","score":0.4182174503803253},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4157086908817291},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3807949423789978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28296762704849243},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.1686173677444458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13282442092895508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13214990496635437},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10734778642654419}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7909841537475586},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6591722965240479},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6287175416946411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737959146499634},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5705418586730957},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5648965239524841},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5090227127075195},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49130359292030334},{"id":"https://openalex.org/C46714192","wikidata":"https://www.wikidata.org/wiki/Q4680763","display_name":"Adaptive simulated annealing","level":3,"score":0.48804771900177},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47190648317337036},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4658566117286682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45547011494636536},{"id":"https://openalex.org/C35304006","wikidata":"https://www.wikidata.org/wiki/Q5962","display_name":"Boltzmann constant","level":2,"score":0.44788238406181335},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4313565790653229},{"id":"https://openalex.org/C193999330","wikidata":"https://www.wikidata.org/wiki/Q834200","display_name":"Boltzmann distribution","level":2,"score":0.4182174503803253},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4157086908817291},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3807949423789978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28296762704849243},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.1686173677444458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13282442092895508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13214990496635437},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10734778642654419},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746626","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/ee2e11c2-9681-433f-b697-506d0bcd507f","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/ee2e11c2-9681-433f-b697-506d0bcd507f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Guilmeau, T, Chouzenoux, E & Elvira, V 2022, 'Proximal-based Adaptive Simulated Annealing For Global Optimization', Paper presented at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore, 23/05/22 - 27/05/22. https://doi.org/10.1109/ICASSP43922.2022.9746626","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.ed.ac.uk:publications/ee2e11c2-9681-433f-b697-506d0bcd507f","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/ee2e11c2-9681-433f-b697-506d0bcd507f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/ee2e11c2-9681-433f-b697-506d0bcd507f","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/ee2e11c2-9681-433f-b697-506d0bcd507f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Guilmeau, T, Chouzenoux, E & Elvira, V 2022, 'Proximal-based Adaptive Simulated Annealing For Global Optimization', Paper presented at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore, 23/05/22 - 27/05/22. https://doi.org/10.1109/ICASSP43922.2022.9746626","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1501567504","https://openalex.org/W1996256651","https://openalex.org/W2020746944","https://openalex.org/W2036632921","https://openalex.org/W2038495454","https://openalex.org/W2056674749","https://openalex.org/W2077370047","https://openalex.org/W2078918649","https://openalex.org/W2087003045","https://openalex.org/W2092898962","https://openalex.org/W2112341314","https://openalex.org/W2120575449","https://openalex.org/W2129732816","https://openalex.org/W2147357149","https://openalex.org/W2148690650","https://openalex.org/W2162112538","https://openalex.org/W2188004715","https://openalex.org/W2317744239","https://openalex.org/W2735102987","https://openalex.org/W2746420172","https://openalex.org/W3090482648","https://openalex.org/W3091997813","https://openalex.org/W3125726451","https://openalex.org/W3131289200","https://openalex.org/W6687237085"],"related_works":["https://openalex.org/W2028660548","https://openalex.org/W2128418474","https://openalex.org/W4234744498","https://openalex.org/W2560572760","https://openalex.org/W4387929093","https://openalex.org/W188039180","https://openalex.org/W2418689459","https://openalex.org/W2402196265","https://openalex.org/W3040536474","https://openalex.org/W222305038"],"abstract_inverted_index":{"Simulated":[0],"annealing":[1],"(SA)":[2],"is":[3,20,46,95,102],"a":[4,26,43,67,77,98,108],"widely":[5],"used":[6],"approach":[7,80],"to":[8,36,64,127],"solve":[9],"global":[10],"optimization":[11],"problems":[12],"in":[13,142],"signal":[14],"processing.":[15],"The":[16],"initial":[17],"non-convex":[18],"problem":[19,113],"recast":[21],"as":[22],"the":[23,50,61,83,87,112,129,133,147],"exploration":[24],"of":[25,28,56,111,114,135,149],"sequence":[27,134],"Boltzmann":[29,93,136],"probability":[30],"distributions,":[31],"which":[32,101],"are":[33,40],"increasingly":[34],"harder":[35],"sample":[37],"from.":[38],"They":[39],"parametrized":[41],"by":[42,97],"temperature":[44,116],"that":[45,81],"iteratively":[47],"decreased,":[48],"following":[49],"so-called":[51],"cooling":[52,62,84],"schedule.":[53],"Convergence":[54],"results":[55],"SA":[57,79,155],"methods":[58],"usually":[59],"require":[60],"schedule":[63,85],"be":[65],"set":[66],"priori":[68],"with":[69,153],"slow":[70],"decay.":[71],"In":[72],"this":[73],"work,":[74],"we":[75,120],"introduce":[76],"new":[78],"selects":[82],"on":[86],"fly.":[88],"To":[89],"do":[90],"so,":[91],"each":[92],"distribution":[94],"approximated":[96],"proposal":[99,118],"density,":[100],"also":[103],"sequentially":[104],"adapted.":[105],"Starting":[106],"from":[107],"variational":[109],"formulation":[110],"joint":[115],"and":[117,138],"adaptation,":[119],"derive":[121],"an":[122,143],"alternating":[123],"Bregman":[124],"proximal":[125],"algorithm":[126],"minimize":[128],"resulting":[130],"cost,":[131],"obtaining":[132],"distributions":[137],"proposals.":[139],"Numerical":[140],"experiments":[141],"idealized":[144],"setting":[145],"illustrate":[146],"potential":[148],"our":[150],"method":[151],"compared":[152],"state-of-the-art":[154],"algorithms.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
