{"id":"https://openalex.org/W2184826377","doi":"https://doi.org/10.1109/ic3.2015.7346645","title":"Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization","display_name":"Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2184826377","doi":"https://doi.org/10.1109/ic3.2015.7346645","mag":"2184826377"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2015.7346645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2015.7346645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"},"type":"article","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/A5018119943","display_name":"Ruoqian Liu","orcid":"https://orcid.org/0000-0003-1636-985X"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruoqian Liu","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004659592","display_name":"Ankit Agrawal","orcid":"https://orcid.org/0000-0002-5519-0302"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankit Agrawal","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047602285","display_name":"Wei\u2010keng Liao","orcid":"https://orcid.org/0009-0008-9411-2543"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-keng Liao","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074976770","display_name":"Alok Choudhary","orcid":"https://orcid.org/0000-0001-8152-6319"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alok Choudhary","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075127080","display_name":"Zhengzhang Chen","orcid":"https://orcid.org/0000-0002-6803-0535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengzhang Chen","raw_affiliation_strings":["NEC Laboratories America, Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Princeton, NJ, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018119943"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":1.7526,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85831027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631086468696594},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6300531625747681},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5879243612289429},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5805262327194214},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.552074670791626},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5223777890205383},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.48812755942344666},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.45021775364875793},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4405049979686737},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.4209526777267456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984631299972534},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.38358989357948303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3776480555534363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2697933316230774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2135462760925293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631086468696594},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6300531625747681},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5879243612289429},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5805262327194214},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.552074670791626},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5223777890205383},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.48812755942344666},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.45021775364875793},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4405049979686737},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.4209526777267456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984631299972534},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.38358989357948303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3776480555534363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2697933316230774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2135462760925293},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2015.7346645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2015.7346645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1481744301","https://openalex.org/W1507350372","https://openalex.org/W1580112030","https://openalex.org/W1583700199","https://openalex.org/W1839088418","https://openalex.org/W1964581121","https://openalex.org/W1969144558","https://openalex.org/W1976649281","https://openalex.org/W2010004527","https://openalex.org/W2099201756","https://openalex.org/W2132166479","https://openalex.org/W2157937859","https://openalex.org/W2164655924","https://openalex.org/W2217117792","https://openalex.org/W2262229344","https://openalex.org/W2295503428","https://openalex.org/W2331011396","https://openalex.org/W4234732195","https://openalex.org/W4238205818","https://openalex.org/W6630382592","https://openalex.org/W6638917632","https://openalex.org/W6697506775"],"related_works":["https://openalex.org/W2123829500","https://openalex.org/W2305572622","https://openalex.org/W4283765137","https://openalex.org/W4317496694","https://openalex.org/W3174749984","https://openalex.org/W4386269615","https://openalex.org/W2887485518","https://openalex.org/W1521720388","https://openalex.org/W2794473043","https://openalex.org/W4312928368"],"abstract_inverted_index":{"Searching":[0],"for":[1,120],"solutions":[2,113],"that":[3,104],"optimize":[4],"a":[5,50,70],"continuous":[6],"function":[7],"can":[8,18,107],"be":[9,19],"difficult":[10],"due":[11],"to":[12,75,90,133],"the":[13,23,27,34,47,54,77,93,98,110,117],"infinite":[14],"search":[15,55,78,94,99],"space,":[16],"and":[17,31,40,57,96,114,130],"further":[20],"complicated":[21],"by":[22,86],"high":[24],"dimensionality":[25],"in":[26,33,46],"number":[28],"of":[29,36,52,80,83,127],"variables":[30],"complexity":[32],"structure":[35],"constraints.":[37],"Both":[38],"deterministic":[39],"stochastic":[41],"methods":[42],"have":[43],"been":[44],"presented":[45],"literature":[48],"with":[49,124],"purpose":[51],"exploiting":[53],"space":[56,95],"avoiding":[58],"local":[59],"optima":[60],"as":[61,63],"much":[62],"possible.":[64],"In":[65],"this":[66,105],"research,":[67],"we":[68],"develop":[69],"machine":[71],"learning":[72],"framework":[73],"aiming":[74],"`prune'":[76],"effort":[79],"both":[81],"types":[82],"optimization":[84],"techniques":[85],"developing":[87],"meta-heuristics,":[88],"attempting":[89],"knowledgeably":[91],"reordering":[92],"reducing":[97],"region.":[100],"Numerical":[101],"examples":[102],"demonstrate":[103],"approach":[106],"effectively":[108],"find":[109],"global":[111],"optimal":[112],"significantly":[115],"reduce":[116],"computational":[118],"time":[119],"seven":[121],"benchmark":[122],"problems":[123],"variable":[125],"dimensions":[126],"100,":[128],"500":[129],"1000,":[131],"compared":[132],"Genetic":[134],"Algorithms.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}