{"id":"https://openalex.org/W2415637909","doi":"https://doi.org/10.1109/tevc.2015.2477284","title":"The Permutation in a Haystack Problem and the Calculus of Search Landscapes","display_name":"The Permutation in a Haystack Problem and the Calculus of Search Landscapes","publication_year":2015,"publication_date":"2015-09-08","ids":{"openalex":"https://openalex.org/W2415637909","doi":"https://doi.org/10.1109/tevc.2015.2477284","mag":"2415637909"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2015.2477284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2015.2477284","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5011219888","display_name":"Vincent Cicirello","orcid":"https://orcid.org/0000-0003-1072-8559"},"institutions":[{"id":"https://openalex.org/I24010308","display_name":"Stockton University","ror":"https://ror.org/0442n1j98","country_code":"US","type":"education","lineage":["https://openalex.org/I24010308"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vincent A. Cicirello","raw_affiliation_strings":["Computer Science and Information Systems Program, School of Business, Stockton University, Galloway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Information Systems Program, School of Business, Stockton University, Galloway, NJ, USA","institution_ids":["https://openalex.org/I24010308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011219888"],"corresponding_institution_ids":["https://openalex.org/I24010308"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.5386,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94035792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"3","first_page":"434","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.998199999332428,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.998199999332428,"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/T13664","display_name":"Genome Rearrangement Algorithms","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9760000109672546,"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/permutation","display_name":"Permutation (music)","score":0.740106463432312},{"id":"https://openalex.org/keywords/haystack","display_name":"Haystack","score":0.6495769023895264},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6069324016571045},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5576634407043457},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.5035695433616638},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.4841195046901703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48126763105392456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44388359785079956},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4382970333099365},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4199192523956299},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41239333152770996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3334459960460663},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23310279846191406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20798861980438232}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.740106463432312},{"id":"https://openalex.org/C13424479","wikidata":"https://www.wikidata.org/wiki/Q5687237","display_name":"Haystack","level":2,"score":0.6495769023895264},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6069324016571045},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5576634407043457},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.5035695433616638},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.4841195046901703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48126763105392456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44388359785079956},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4382970333099365},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4199192523956299},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41239333152770996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3334459960460663},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23310279846191406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20798861980438232},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2015.2477284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2015.2477284","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W68404457","https://openalex.org/W99032621","https://openalex.org/W615530220","https://openalex.org/W1485400391","https://openalex.org/W1512383952","https://openalex.org/W1516301787","https://openalex.org/W1522202779","https://openalex.org/W1531229281","https://openalex.org/W1563564537","https://openalex.org/W1573193150","https://openalex.org/W1589975099","https://openalex.org/W1878904311","https://openalex.org/W1933385826","https://openalex.org/W1953244052","https://openalex.org/W1965471519","https://openalex.org/W1970026646","https://openalex.org/W1973189437","https://openalex.org/W1985514943","https://openalex.org/W1989379703","https://openalex.org/W1993449345","https://openalex.org/W2024224096","https://openalex.org/W2027752285","https://openalex.org/W2045831866","https://openalex.org/W2049108843","https://openalex.org/W2057338644","https://openalex.org/W2063894623","https://openalex.org/W2070449673","https://openalex.org/W2079505110","https://openalex.org/W2080872763","https://openalex.org/W2083904492","https://openalex.org/W2097571405","https://openalex.org/W2097904397","https://openalex.org/W2102818760","https://openalex.org/W2102987267","https://openalex.org/W2105089228","https://openalex.org/W2107951961","https://openalex.org/W2112903262","https://openalex.org/W2117082818","https://openalex.org/W2117492353","https://openalex.org/W2118584115","https://openalex.org/W2123907036","https://openalex.org/W2131156692","https://openalex.org/W2131476630","https://openalex.org/W2151659268","https://openalex.org/W2159836663","https://openalex.org/W2171463101","https://openalex.org/W2185569880","https://openalex.org/W2232513430","https://openalex.org/W2301459920","https://openalex.org/W2324402390","https://openalex.org/W2624370095","https://openalex.org/W2976664243","https://openalex.org/W3148293037","https://openalex.org/W4256046779","https://openalex.org/W4299910743","https://openalex.org/W6604038483","https://openalex.org/W6630838125","https://openalex.org/W6631874220","https://openalex.org/W6633549403","https://openalex.org/W6634190213","https://openalex.org/W6635336068","https://openalex.org/W6640368482","https://openalex.org/W6675583760","https://openalex.org/W6676097241","https://openalex.org/W6679662863","https://openalex.org/W6686361738","https://openalex.org/W6689309441","https://openalex.org/W6698032206","https://openalex.org/W6739075558"],"related_works":["https://openalex.org/W2184131469","https://openalex.org/W4321748008","https://openalex.org/W2797610470","https://openalex.org/W2074196947","https://openalex.org/W1887300513","https://openalex.org/W4312051210","https://openalex.org/W4297729179","https://openalex.org/W2120153268","https://openalex.org/W102744014","https://openalex.org/W1985197322"],"abstract_inverted_index":{"The":[0,26],"natural":[1],"encoding":[2],"for":[3,62],"many":[4],"search":[5,95,136,141,181],"and":[6,21,173],"optimization":[7,107],"problems":[8],"is":[9,48],"the":[10,14,37,41,49,53,83,109,119,157,176,180],"permutation,":[11],"such":[12],"as":[13],"traveling":[15],"salesperson,":[16],"vehicle":[17],"routing,":[18],"scheduling,":[19],"assignment":[20],"mapping":[22],"problems,":[23,46,108],"among":[24],"others.":[25],"effectiveness":[27],"of":[28,39,52,106,122,135,140,145,149,159,167,179],"a":[29,90,103,112,133,165,170],"given":[30],"mutation":[31,162],"or":[32,66,86],"crossover":[33],"operator":[34],"depends":[35],"upon":[36],"nature":[38],"what":[40],"permutation":[42,74,94,110,123,161,168],"represents.":[43],"For":[44],"some":[45],"it":[47],"absolute":[50,126],"locations":[51],"elements":[54],"that":[55,114],"most":[56,71],"directly":[57],"influences":[58],"solution":[59],"fitness;":[60],"while":[61],"others,":[63],"element":[64,68],"adjacencies":[65],"even":[67],"precedences":[69],"are":[70],"important.":[72],"Different":[73],"operators":[75,163],"respect":[76],"different":[77],"properties.":[78],"We":[79,151],"aim":[80],"to":[81,118,155],"provide":[82],"genetic":[84],"algorithm":[85],"metaheuristic":[87],"practitioner":[88],"with":[89,186],"framework":[91],"enabling":[92,138],"effective":[93],"landscape":[96,182],"analysis.":[97],"To":[98],"this":[99],"end,":[100],"we":[101,131],"contribute":[102],"new":[104],"family":[105],"in":[111,169],"haystack,":[113],"can":[115],"be":[116],"parameterized":[117],"various":[120],"types":[121],"problem":[124],"(e.g.,":[125],"versus":[127],"relative":[128],"positioning).":[129],"Additionally,":[130],"propose":[132],"calculus":[134,183],"landscapes,":[137],"analysis":[139],"landscapes":[142],"through":[143],"examination":[144],"local":[146],"fitness":[147],"rates":[148],"change.":[150],"use":[152],"our":[153],"approach":[154],"analyze":[156],"behavior":[158],"common":[160],"on":[164],"variety":[166],"haystack":[171],"landscapes;":[172],"empirically":[174],"validate":[175],"prescriptive":[177],"power":[178],"via":[184],"experiments":[185],"simulated":[187],"annealing.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
