{"id":"https://openalex.org/W4404667254","doi":"https://doi.org/10.5220/0012888600003837","title":"Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem","display_name":"Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404667254","doi":"https://doi.org/10.5220/0012888600003837"},"language":"en","primary_location":{"id":"doi:10.5220/0012888600003837","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012888600003837","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.5220/0012888600003837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100742813","display_name":"Jiayang Chen","orcid":"https://orcid.org/0000-0002-8208-3262"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayang Chen","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568502","display_name":"Zhize Wu","orcid":"https://orcid.org/0000-0003-0285-4264"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhize Wu","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074122533","display_name":"Sarah L. Thomson","orcid":"https://orcid.org/0000-0001-6971-7817"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sarah Thomson","raw_affiliation_strings":["School of Computing, Engineering & the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH10 5DT, U.K., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering & the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH10 5DT, U.K., --- Select a Country ---","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010827013","display_name":"Thomas Weise","orcid":"https://orcid.org/0000-0002-9687-8509"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thomas Weise","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Jinxiu Dadao 99, Hefei, 230601, Anhui, China, --- Select a Country ---","institution_ids":["https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7112,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72289928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9886999726295471,"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":0.9886999726295471,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9451000094413757,"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/quadratic-assignment-problem","display_name":"Quadratic assignment problem","score":0.6037883162498474},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5441381335258484},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5067604184150696},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47449207305908203},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.47254514694213867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47194546461105347},{"id":"https://openalex.org/keywords/frequency-assignment","display_name":"Frequency assignment","score":0.4597622752189636},{"id":"https://openalex.org/keywords/assignment-problem","display_name":"Assignment problem","score":0.4170437753200531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3457610309123993}],"concepts":[{"id":"https://openalex.org/C98036226","wikidata":"https://www.wikidata.org/wiki/Q7268356","display_name":"Quadratic assignment problem","level":3,"score":0.6037883162498474},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5441381335258484},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5067604184150696},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47449207305908203},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.47254514694213867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47194546461105347},{"id":"https://openalex.org/C2776628324","wikidata":"https://www.wikidata.org/wiki/Q22222748","display_name":"Frequency assignment","level":2,"score":0.4597622752189636},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.4170437753200531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3457610309123993},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0012888600003837","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012888600003837","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:repository@napier.ac.uk:3791803","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0012888600003837","pdf_url":"https://napier-repository.worktribe.com/file/3791803/1/Frequency%20Fitness%20Assignment%3A%20Optimization%20without%20Bias%20for%20Good%20Solution%20outperforms%20Randomized%20Local%20Search%20on%20the%20Quadratic%20Assignment%20Problem%20%28accepted%20version%29","source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"doi:10.5220/0012888600003837","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5220/0012888600003837","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1620847186","display_name":null,"funder_award_id":"62406095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5555539348","display_name":null,"funder_award_id":"2308085MF213","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W101163445","https://openalex.org/W3091931714","https://openalex.org/W2793371964","https://openalex.org/W1560792291","https://openalex.org/W2154322765","https://openalex.org/W2048331343","https://openalex.org/W2305015358","https://openalex.org/W2937059810","https://openalex.org/W2048002807","https://openalex.org/W2159223756"],"abstract_inverted_index":{"The":[0],"Quadratic":[1],"Assignment":[2,66],"Problem":[3],"(QAP)":[4],"is":[5,25,98],"one":[6,106],"of":[7,19,37,44,134,137],"the":[8,33,61,104,124,131,135,138],"classical":[9],"N":[10],"P-hard":[11],"tasks":[12],"from":[13],"operations":[14],"research":[15],"with":[16,28,63],"a":[17,35,88,95,116],"history":[18],"more":[20],"than":[21],"65":[22],"years.":[23],"It":[24],"often":[26],"approached":[27],"heuristic":[29,89],"algorithms":[30],"and":[31,79,122],"over":[32,56],"years,":[34],"multitude":[36],"such":[38],"methods":[39],"has":[40],"been":[41],"applied.":[42],"All":[43],"them":[45],"have":[46],"in":[47],"common":[48],"that":[49,71,80,87,90],"they":[50],"tend":[51],"to":[52,103],"prefer":[53],"better":[54,99],"solutions":[55],"worse":[57,101],"ones.":[58],"We":[59,112],"approach":[60],"QAP":[62],"Frequency":[64],"Fitness":[65],"(FFA),":[67],"an":[68],"algorithm":[69],"module":[70],"can":[72],"be":[73],"plugged":[74],"into":[75,115],"arbitrary":[76],"iterative":[77],"heuristics":[78],"removes":[81],"this":[82],"bias.":[83],"One":[84],"would":[85],"expect":[86],"does":[91],"not":[92,108],"care":[93],"whether":[94],"new":[96],"solution":[97],"or":[100],"compared":[102],"current":[105],"should":[107],"perform":[109],"very":[110],"well.":[111],"plug":[113],"FFA":[114],"simple":[117],"randomized":[118],"local":[119],"search":[120],"(RLS)":[121],"yield":[123],"FRLS,":[125],"which":[126],"surprisingly":[127],"outperforms":[128],"RLS":[129],"on":[130],"vast":[132],"majority":[133],"instances":[136],"well-known":[139],"QAPLIB":[140],"benchmark":[141],"set.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
