{"id":"https://openalex.org/W2086895135","doi":"https://doi.org/10.1080/09528130600906365","title":"Exploring the fitness landscape and the run-time behaviour of an iterated local search algorithm for cost-based abduction","display_name":"Exploring the fitness landscape and the run-time behaviour of an iterated local search algorithm for cost-based abduction","publication_year":2006,"publication_date":"2006-09-01","ids":{"openalex":"https://openalex.org/W2086895135","doi":"https://doi.org/10.1080/09528130600906365","mag":"2086895135"},"language":"en","primary_location":{"id":"doi:10.1080/09528130600906365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130600906365","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","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/A5079888480","display_name":"Ashraf M. Abdelbar","orcid":"https://orcid.org/0000-0002-7921-1892"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ashraf M. Abdelbar","raw_affiliation_strings":["Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072432610","display_name":"Sarah H. Gheita","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sarah H. Gheita","raw_affiliation_strings":["Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014209078","display_name":"Heba A. Amer","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Heba A. Amer","raw_affiliation_strings":["Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , American University in Cairo , 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"Department of Computer Science, American University in Cairo, 113 Kasr El Aini Street, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079888480"],"corresponding_institution_ids":["https://openalex.org/I80693520"],"apc_list":null,"apc_paid":null,"fwci":1.5089,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84435975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":"3","first_page":"365","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9951000213623047,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9948999881744385,"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/hill-climbing","display_name":"Hill climbing","score":0.8875732421875},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.8187625408172607},{"id":"https://openalex.org/keywords/iterated-local-search","display_name":"Iterated local search","score":0.8064500093460083},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.743041455745697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128556966781616},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.6900420188903809},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6830485463142395},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.6495158672332764},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5835364460945129},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.5053358674049377},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4906719923019409},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4843491315841675},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.48087409138679504},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4681670367717743},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4466990828514099},{"id":"https://openalex.org/keywords/guided-local-search","display_name":"Guided Local Search","score":0.4404318928718567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203338086605072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22656911611557007}],"concepts":[{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.8875732421875},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8187625408172607},{"id":"https://openalex.org/C124145224","wikidata":"https://www.wikidata.org/wiki/Q6094397","display_name":"Iterated local search","level":3,"score":0.8064500093460083},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.743041455745697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128556966781616},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.6900420188903809},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6830485463142395},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.6495158672332764},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5835364460945129},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.5053358674049377},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4906719923019409},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4843491315841675},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.48087409138679504},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4681670367717743},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4466990828514099},{"id":"https://openalex.org/C90189156","wikidata":"https://www.wikidata.org/wiki/Q5615481","display_name":"Guided Local Search","level":3,"score":0.4404318928718567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203338086605072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22656911611557007},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09528130600906365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130600906365","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309626","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W36119055","https://openalex.org/W1500234553","https://openalex.org/W1546981760","https://openalex.org/W1553808883","https://openalex.org/W1575779524","https://openalex.org/W1575862709","https://openalex.org/W1591939288","https://openalex.org/W1603034813","https://openalex.org/W1612531729","https://openalex.org/W1833106254","https://openalex.org/W1933569933","https://openalex.org/W1963547452","https://openalex.org/W1969373224","https://openalex.org/W1987703212","https://openalex.org/W2026136572","https://openalex.org/W2053307880","https://openalex.org/W2075895304","https://openalex.org/W2107941094","https://openalex.org/W2108654603","https://openalex.org/W2126927016","https://openalex.org/W2134439162","https://openalex.org/W2137457708","https://openalex.org/W2148948822","https://openalex.org/W2156708389","https://openalex.org/W2158937425","https://openalex.org/W2170276571","https://openalex.org/W2170489073","https://openalex.org/W2543580944","https://openalex.org/W3204855000","https://openalex.org/W4301808069","https://openalex.org/W6601488046"],"related_works":["https://openalex.org/W4237368524","https://openalex.org/W4386413867","https://openalex.org/W2560221187","https://openalex.org/W2789338867","https://openalex.org/W3046481193","https://openalex.org/W2123829500","https://openalex.org/W2474645015","https://openalex.org/W1533229056","https://openalex.org/W2535266198","https://openalex.org/W2305572622"],"abstract_inverted_index":{"Cost-based":[0],"abduction":[1],"(CBA)":[2],"is":[3,21],"an":[4,79],"important":[5],"problem":[6],"in":[7],"reasoning":[8],"under":[9],"uncertainty,":[10],"and":[11,26,56,89,102],"can":[12],"be":[13,24,69],"considered":[14],"a":[15,29],"generalization":[16],"of":[17,31,96],"belief":[18],"revision.":[19],"CBA":[20],"known":[22],"to":[23,77,99,103],"NP-hard":[25],"has":[27],"been":[28],"subject":[30],"considerable":[32],"research":[33],"over":[34],"the":[35,43,94],"past":[36],"decade.":[37],"In":[38],"this":[39,72],"paper,":[40],"we":[41],"investigate":[42],"fitness":[44],"landscape":[45,58],"for":[46,53,109],"CBA,":[47],"by":[48],"looking":[49],"at":[50,57],"fitness\u2013distance":[51],"correlation":[52],"local":[54,65,81],"minima":[55],"ruggedness.":[59],"Our":[60],"results":[61],"indicate":[62],"that":[63],"stochastic":[64],"search":[66,82],"techniques":[67],"would":[68],"promising":[70],"on":[71,76,85],"problem.":[73],"We":[74,92],"go":[75],"present":[78],"iterated":[80],"algorithm":[83,98],"based":[84],"hill-climbing,":[86],"tabu":[87],"search,":[88],"simulated":[90,100],"annealing.":[91],"compare":[93],"performance":[95],"our":[97],"annealing,":[101],"Santos'":[104],"integer":[105],"linear":[106],"programming":[107],"method":[108],"CBA.":[110]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
