{"id":"https://openalex.org/W2521046933","doi":"https://doi.org/10.1109/icpr.2016.7900285","title":"Dilemma First Search for effortless optimization of NP-hard problems","display_name":"Dilemma First Search for effortless optimization of NP-hard problems","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2521046933","doi":"https://doi.org/10.1109/icpr.2016.7900285","mag":"2521046933"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1609.03545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044930620","display_name":"Julien Weissenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Julien Weissenberg","raw_affiliation_strings":["CVL, ETH, Zurich","CVL, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"CVL, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"CVL, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011444017","display_name":"Hayko Riemenschneider","orcid":"https://orcid.org/0000-0003-2541-7999"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hayko Riemenschneider","raw_affiliation_strings":["CVL, ETH, Zurich","CVL, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"CVL, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"CVL, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072291658","display_name":"Ralf Dragon","orcid":"https://orcid.org/0000-0003-1951-3458"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ralf Dragon","raw_affiliation_strings":["CVL, ETH, Zurich","CVL, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"CVL, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"CVL, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001254143","display_name":"Luc Van Gool","orcid":"https://orcid.org/0000-0002-3445-5711"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["CVL, ETH, Zurich","CVL, ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"CVL, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"CVL, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044930620"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.28187688,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82803862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4154","last_page":"4159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.987500011920929,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.987500011920929,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.984000027179718,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9793000221252441,"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/heuristics","display_name":"Heuristics","score":0.6079525351524353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.571870744228363},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5506531596183777},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5281344056129456},{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"Knapsack problem","score":0.5208675861358643},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4566669762134552},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4560638666152954},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4515458941459656},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.4490351676940918},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.413822740316391},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37702691555023193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3733685314655304},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.34989798069000244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14012432098388672}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6079525351524353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.571870744228363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5506531596183777},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5281344056129456},{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.5208675861358643},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4566669762134552},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4560638666152954},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4515458941459656},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.4490351676940918},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.413822740316391},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37702691555023193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3733685314655304},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.34989798069000244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14012432098388672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr.2016.7900285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1609.03545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.03545","pdf_url":"https://arxiv.org/pdf/1609.03545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2521046933","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1609.03545.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1609.03545","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1609.03545","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1609.03545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.03545","pdf_url":"https://arxiv.org/pdf/1609.03545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2521046933.pdf","grobid_xml":"https://content.openalex.org/works/W2521046933.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W23988625","https://openalex.org/W1563501581","https://openalex.org/W1971616954","https://openalex.org/W2041252124","https://openalex.org/W2098755772","https://openalex.org/W2112796928","https://openalex.org/W2170391791","https://openalex.org/W2276274191","https://openalex.org/W4236137412","https://openalex.org/W4243384549","https://openalex.org/W4246598646","https://openalex.org/W6603729602","https://openalex.org/W6609513284","https://openalex.org/W6635451418","https://openalex.org/W6636578284","https://openalex.org/W6640563878","https://openalex.org/W6677801757","https://openalex.org/W6683603353","https://openalex.org/W6685719144"],"related_works":["https://openalex.org/W2104216962","https://openalex.org/W2941261464","https://openalex.org/W2566659572","https://openalex.org/W2990781117","https://openalex.org/W2544636806","https://openalex.org/W3043221510","https://openalex.org/W2403468791","https://openalex.org/W3035199139","https://openalex.org/W2766307072","https://openalex.org/W2160109842","https://openalex.org/W1668219064","https://openalex.org/W3089386712","https://openalex.org/W2120701054","https://openalex.org/W2293840314","https://openalex.org/W2997922658","https://openalex.org/W2143629183","https://openalex.org/W1989547529","https://openalex.org/W3001750164","https://openalex.org/W3209482523","https://openalex.org/W2022736211"],"abstract_inverted_index":{"To":[0],"tackle":[1],"the":[2,31,81,86,111,133,154],"exponentiality":[3],"associated":[4],"with":[5],"NP-hard":[6],"problems,":[7],"two":[8,108],"paradigms":[9],"have":[10,51],"been":[11,52],"proposed.":[12],"First,":[13,110],"Branch":[14],"&":[15],"Bound,":[16],"like":[17],"Dynamic":[18],"Programming,":[19],"achieve":[20],"efficient":[21,101,116],"exact":[22,102],"inference":[23],"but":[24,41],"requires":[25],"extensive":[26],"information":[27],"and":[28,55,66],"analysis":[29],"about":[30],"problem":[32],"at":[33],"hand.":[34],"Second,":[35,124],"meta-heuristics":[36],"are":[37,59,148],"easier":[38],"to":[39,99],"implement":[40],"comparatively":[42],"inefficient.":[43],"As":[44],"a":[45,47,63,68,121,151,158],"result,":[46],"number":[48],"of":[49,153],"problems":[50],"left":[53],"unoptimized":[54],"plain":[56],"greedy":[57,87,134],"solutions":[58],"used.":[60],"We":[61,104,138],"introduce":[62],"theoretical":[64],"framework":[65],"propose":[67],"powerful":[69],"yet":[70],"simple":[71],"search":[72],"method":[73],"called":[74],"Dilemma":[75],"First":[76],"Search":[77],"(DFS).":[78],"DFS":[79,92,106],"exploits":[80],"decision":[82,142],"heuristic":[83],"needed":[84],"for":[85,89,114],"solution":[88],"further":[90,139],"optimization.":[91],"is":[93,97],"useful":[94],"when":[95],"it":[96],"hard":[98],"design":[100],"inference.":[103],"evaluate":[105],"on":[107,132],"problems:":[109],"Knapsack":[112],"problem,":[113],"which":[115],"algorithms":[117,130],"exist,":[118],"serves":[119],"as":[120],"toy":[122],"example.":[123],"Decision":[125],"Tree":[126],"inference,":[127],"where":[128],"state-of-the-art":[129],"rely":[131],"or":[135],"randomness-based":[136],"solutions.":[137],"show":[140],"that":[141,147],"trees":[143],"benefit":[144],"from":[145],"optimizations":[146],"performed":[149],"in":[150],"fraction":[152],"iterations":[155],"required":[156],"by":[157],"random-based":[159],"search.":[160]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}