{"id":"https://openalex.org/W4293191374","doi":"https://doi.org/10.1051/shsconf/202214403009","title":"A Comparison of Greedy Algorithm and Dynamic Programming Algorithm","display_name":"A Comparison of Greedy Algorithm and Dynamic Programming Algorithm","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293191374","doi":"https://doi.org/10.1051/shsconf/202214403009"},"language":"en","primary_location":{"id":"doi:10.1051/shsconf/202214403009","doi":"https://doi.org/10.1051/shsconf/202214403009","is_oa":true,"landing_page_url":"https://doi.org/10.1051/shsconf/202214403009","pdf_url":null,"source":{"id":"https://openalex.org/S4210202797","display_name":"SHS Web of Conferences","issn_l":"2261-2424","issn":["2261-2424","2416-5182"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SHS Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1051/shsconf/202214403009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072819130","display_name":"Xiaoxi Chen","orcid":"https://orcid.org/0000-0001-5039-3090","observed_orcids":["https://orcid.org/0000-0001-5039-3090"]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoxi Chen","raw_affiliation_strings":["High School Affiliated to Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High School Affiliated to Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072819130"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.658,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81168033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"144","issue":null,"first_page":"03009","last_page":"03009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.5249000191688538,"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"}},"topics":[{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.5249000191688538,"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/T12176","display_name":"Optimization and Packing Problems","score":0.3813000023365021,"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/T11269","display_name":"Algorithms and Data Compression","score":0.025699999183416367,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"greedy algorithm","score":0.9269999861717224},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"dynamic programming","score":0.9990000128746033},{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"knapsack problem","score":0.9890000224113464},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.9269999861717224},{"id":"https://openalex.org/keywords/optimality","display_name":"optimality","score":0.6959999799728394},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7590000033378601},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"combinatorial optimization","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.894444465637207},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.7768371105194092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6747607588768005},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.6704998016357422},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6394920349121094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160598397254944},{"id":"https://openalex.org/C17722475","wikidata":"https://www.wikidata.org/wiki/Q3406279","display_name":"Change-making problem","level":4,"score":0.5839948058128357},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5716755390167236},{"id":"https://openalex.org/C60810621","wikidata":"https://www.wikidata.org/wiki/Q2333568","display_name":"Optimal substructure","level":3,"score":0.5418317317962646},{"id":"https://openalex.org/C126221529","wikidata":"https://www.wikidata.org/wiki/Q3116070","display_name":"Greedy randomized adaptive search procedure","level":3,"score":0.5269489884376526},{"id":"https://openalex.org/C94569963","wikidata":"https://www.wikidata.org/wiki/Q5165487","display_name":"Continuous knapsack problem","level":3,"score":0.5064839124679565},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.505396842956543},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4471313953399658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2838957905769348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0846741795539856},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1051/shsconf/202214403009","doi":"https://doi.org/10.1051/shsconf/202214403009","is_oa":true,"landing_page_url":"https://doi.org/10.1051/shsconf/202214403009","pdf_url":null,"source":{"id":"https://openalex.org/S4210202797","display_name":"SHS Web of Conferences","issn_l":"2261-2424","issn":["2261-2424","2416-5182"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SHS Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202214403009","doi":null,"is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202214403009/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202214403009/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202214403009","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:153ef2cb8e2b4c0a98533db06c65eaab","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/153ef2cb8e2b4c0a98533db06c65eaab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SHS Web of Conferences, Vol 144, p 03009 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/shsconf/202214403009","doi":"https://doi.org/10.1051/shsconf/202214403009","is_oa":true,"landing_page_url":"https://doi.org/10.1051/shsconf/202214403009","pdf_url":null,"source":{"id":"https://openalex.org/S4210202797","display_name":"SHS Web of Conferences","issn_l":"2261-2424","issn":["2261-2424","2416-5182"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SHS Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293191374.pdf","grobid_xml":"https://content.openalex.org/works/W4293191374.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1586409345","https://openalex.org/W1776713878","https://openalex.org/W2024873496","https://openalex.org/W2029828838","https://openalex.org/W2161029789"],"related_works":["https://openalex.org/W3209920515","https://openalex.org/W4383560272","https://openalex.org/W7170252296","https://openalex.org/W2317501220","https://openalex.org/W3112089036","https://openalex.org/W3134056786","https://openalex.org/W2350619710","https://openalex.org/W2357796514","https://openalex.org/W2891162720","https://openalex.org/W4391992339"],"abstract_inverted_index":{"Two":[0],"algorithms":[1,8,39],"to":[2],"handle":[3],"the":[4,37,44,48,62,66,74,89,97,104,108,112,117],"problem":[5,53,57],"include":[6],"greedy":[7,69,109],"and":[9,17,34,100],"dynamic":[10,81],"programming.":[11],"Because":[12],"of":[13,30,36,47,64,103],"their":[14],"simplicity,":[15],"intuitiveness,":[16],"great":[18],"efficiency":[19],"in":[20,27,58,84,115],"addressing":[21],"problems,":[22],"they":[23],"are":[24,40],"frequently":[25],"employed":[26],"a":[28,55],"variety":[29],"circumstances.":[31],"The":[32,51,94],"connection":[33],"difference":[35],"two":[38,49,105],"compared":[41],"by":[42],"introducing":[43],"essential":[45],"ideas":[46],"algorithms.":[50],"knapsack":[52,118],"is":[54,71,77,92],"classic":[56],"computer":[59],"science.":[60],"In":[61],"application":[63,98,101],"solving":[65,90,116],"backpack":[67],"problem,":[68],"algorithm":[70],"faster,":[72],"but":[73,88],"resulting":[75],"solution":[76],"not":[78],"always":[79],"optimal;":[80],"programming":[82],"results":[83],"an":[85],"optimal":[86],"solution,":[87],"speed":[91],"slower.":[93],"research":[95],"compares":[96],"properties":[99],"scope":[102],"strategies,":[106],"with":[107],"approach":[110,114],"being":[111],"better":[113],"problem.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-08-27T00:00:00"}
