{"id":"https://openalex.org/W2124461930","doi":"https://doi.org/10.1109/ijcnn.2008.4634354","title":"Optimizing learning path selection through memetic algorithms","display_name":"Optimizing learning path selection through memetic algorithms","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2124461930","doi":"https://doi.org/10.1109/ijcnn.2008.4634354","mag":"2124461930"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5023375107","display_name":"Giovanni Acampora","orcid":"https://orcid.org/0000-0003-4082-5616"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Acampora","raw_affiliation_strings":["Dipartimento di Matematica e Informatica, University of Salerno, 84084 Fisciano, (Italy)"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica e Informatica, University of Salerno, 84084 Fisciano, (Italy)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009089390","display_name":"Matteo Gaeta","orcid":"https://orcid.org/0000-0001-7209-3355"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Gaeta","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036423849","display_name":"Vincenzo Loia","orcid":"https://orcid.org/0000-0003-4807-8942"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Loia","raw_affiliation_strings":["Dipartimento di Matematica e Informatica, University of Salerno, 84084 Fisciano, (Italy)"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica e Informatica, University of Salerno, 84084 Fisciano, (Italy)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009913927","display_name":"Pierluigi Ritrovato","orcid":"https://orcid.org/0000-0003-4534-6972"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierluigi Ritrovato","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109963377","display_name":"Saverio Salerno","orcid":null},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Saverio Salerno","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione e Matematica Applicata, University of Salerno, 84084 Fisciano, (Italy)","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023375107"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":6.4393,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96264199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3869","last_page":"3875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9983000159263611,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9983000159263611,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.992900013923645,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528849840164185},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.682665228843689},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6713954210281372},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6697142124176025},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5391855835914612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156301259994507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4938433766365051},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.47371262311935425},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4297027885913849},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4184388518333435},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.29379454255104065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528849840164185},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.682665228843689},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6713954210281372},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6697142124176025},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5391855835914612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156301259994507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4938433766365051},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.47371262311935425},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4297027885913849},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4184388518333435},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.29379454255104065},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:publications/b0f39121-1999-4f9f-905b-3d12c5ef532f","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/b0f39121-1999-4f9f-905b-3d12c5ef532f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Acampora, G, Gaeta, M, Loia, V, Ritrovato, P & Salerno, S 2008, Optimizing learning path selection through memetic algorithms. in Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN 2008 (IEEE World Congress on Computational Intelligence), 1-8 June 2008, Hong Kong. Institute of Electrical and Electronics Engineers, Piscataway, pp. 3869-3875. https://doi.org/10.1109/IJCNN.2008.4634354","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:irep.ntu.ac.uk:3001","is_oa":false,"landing_page_url":"http://irep.ntu.ac.uk/id/eprint/3001/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:library.tue.nl:755802","is_oa":false,"landing_page_url":"http://repository.tue.nl/755802","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:tue:oai:pure.tue.nl:publications/b0f39121-1999-4f9f-905b-3d12c5ef532f","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/b0f39121-1999-4f9f-905b-3d12c5ef532f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN 2008 (IEEE World Congress on Computational Intelligence), 1-8 June 2008, Hong Kong, 3869 - 3875","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W19573269","https://openalex.org/W1028758229","https://openalex.org/W1527860161","https://openalex.org/W2031852825","https://openalex.org/W2034973906","https://openalex.org/W2035394818","https://openalex.org/W2096966865","https://openalex.org/W2131612655","https://openalex.org/W2137109171","https://openalex.org/W2138440740","https://openalex.org/W2151029531","https://openalex.org/W2624262714","https://openalex.org/W6626822959","https://openalex.org/W6680777966"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"e-Learning":[0,85],"is":[1,55],"a":[2,76,96,110],"critical":[3],"support":[4,57],"mechanism":[5],"for":[6,82],"industrial":[7],"and":[8,17,31,47,59,65,80,91,109,124],"academic":[9],"organizations":[10],"to":[11,56,62,87,92],"enhance":[12],"the":[13,21,25,71,88,117],"skills":[14],"of":[15,33,52,70,78,106,115],"employees":[16],"students":[18],"and,":[19],"consequently,":[20],"overall":[22],"competitiveness":[23],"in":[24,95,121],"new":[26],"economy.":[27],"The":[28,49],"remarkable":[29],"velocity":[30],"volatility":[32],"modern":[34],"knowledge":[35],"require":[36],"novel":[37],"learning":[38,107,119],"methods":[39],"offering":[40],"additional":[41],"features":[42],"as":[43],"efficiency,":[44],"task":[45],"relevance":[46],"personalization.":[48],"main":[50],"aim":[51],"adaptive":[53],"eLearning":[54],"content":[58],"activities,":[60],"personalized":[61],"specific":[63,68],"needs":[64],"influenced":[66],"by":[67],"preferences":[69],"learner.":[72],"This":[73],"paper":[74],"describes":[75],"collection":[77],"models":[79],"processes":[81],"adapting":[83],"an":[84,122],"system":[86],"learner":[89],"expectations":[90],"formulate":[93],"objectives":[94],"dynamic":[97],"intelligent":[98],"way.":[99,126],"Precisely,":[100],"our":[101],"proposal":[102],"exploits":[103],"ontological":[104],"representations":[105],"environment":[108],"memetic":[111],"optimization":[112],"algorithm":[113],"capable":[114],"generating":[116],"best":[118],"presentation":[120],"efficient":[123],"qualitative":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
