{"id":"https://openalex.org/W4388593496","doi":"https://doi.org/10.1145/3625343.3625349","title":"Path-extrapolation in Evolutionary Algorithms","display_name":"Path-extrapolation in Evolutionary Algorithms","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4388593496","doi":"https://doi.org/10.1145/3625343.3625349"},"language":"en","primary_location":{"id":"doi:10.1145/3625343.3625349","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3625343.3625349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625343.3625349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625343.3625349","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035132865","display_name":"Yoel Tenne","orcid":null},"institutions":[{"id":"https://openalex.org/I52170813","display_name":"Ariel University","ror":"https://ror.org/03nz8qe97","country_code":"IL","type":"education","lineage":["https://openalex.org/I52170813"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yoel Tenne","raw_affiliation_strings":["Ariel University, Israel"],"raw_orcid":"https://orcid.org/0000-0003-1828-194X","affiliations":[{"raw_affiliation_string":"Ariel University, Israel","institution_ids":["https://openalex.org/I52170813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035132865"],"corresponding_institution_ids":["https://openalex.org/I52170813"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14937745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9990000128746033,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9962000250816345,"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/extrapolation","display_name":"Extrapolation","score":0.7725716829299927},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7428125143051147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472618579864502},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6067642569541931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6010377407073975},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5557392239570618},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5556654930114746},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5528556108474731},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.552493691444397},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5455529093742371},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45211517810821533},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.42888760566711426},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41967999935150146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2880341410636902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22221055626869202},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09566161036491394}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.7725716829299927},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7428125143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472618579864502},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6067642569541931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6010377407073975},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5557392239570618},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5556654930114746},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5528556108474731},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.552493691444397},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5455529093742371},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45211517810821533},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42888760566711426},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41967999935150146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2880341410636902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22221055626869202},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09566161036491394},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625343.3625349","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3625343.3625349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625343.3625349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625343.3625349","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3625343.3625349","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625343.3625349","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388593496.pdf","grobid_xml":"https://content.openalex.org/works/W4388593496.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W764325004","https://openalex.org/W2132181343","https://openalex.org/W2990714382","https://openalex.org/W3008609561","https://openalex.org/W3018989298","https://openalex.org/W3083233819","https://openalex.org/W3103451854","https://openalex.org/W3135580596"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928","https://openalex.org/W2593449396"],"abstract_inverted_index":{"Evolutionary":[0],"Algorithms":[1],"are":[2],"used":[3,70,89],"to":[4,50,71,90,97],"solve":[5],"challenging":[6],"optimization":[7],"problems":[8],"across":[9],"a":[10,39,47],"variety":[11],"of":[12,79,108],"domains.":[13],"While":[14],"simple":[15],"and":[16,35,86],"robust":[17],"they":[18],"often":[19,36],"do":[20],"not":[21],"effectively":[22],"exploit":[23],"information":[24,67],"generated":[25],"during":[26],"the":[27,52,57,77,80,83,92,106,109],"search":[28],"which":[29,75],"in":[30,38,82],"turn":[31],"degrades":[32],"their":[33],"efficiency":[34],"results":[37],"slow":[40],"convergence.":[41,99],"As":[42],"such":[43],"this":[44],"paper":[45],"presents":[46],"new":[48],"algorithm":[49],"accelerate":[51,98],"EA":[53],"convergence":[54],"by":[55,60],"monitoring":[56],"path":[58],"traversed":[59],"its":[61],"population":[62,93],"over":[63],"several":[64],"generations.":[65],"This":[66],"is":[68,87],"then":[69,88],"construct":[72],"interpolating":[73],"polynomials":[74],"predict":[76],"position":[78],"centroid":[81],"next":[84],"generation":[85],"shift":[91],"along":[94],"that":[95],"direction":[96],"An":[100],"extensive":[101],"numerical":[102],"performance":[103],"analysis":[104],"shows":[105],"effectiveness":[107],"proposed":[110],"approach.":[111]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
