{"id":"https://openalex.org/W3155054639","doi":"https://doi.org/10.1109/access.2021.3072831","title":"A Hybrid Approach Combining Improved Shuffled Frog-Leaping Algorithm With Dynamic Programming for Disassembly Process Planning","display_name":"A Hybrid Approach Combining Improved Shuffled Frog-Leaping Algorithm With Dynamic Programming for Disassembly Process Planning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3155054639","doi":"https://doi.org/10.1109/access.2021.3072831","mag":"3155054639"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3072831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3072831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09400830.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09400830.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071979760","display_name":"Hsien\u2010Pin Hsu","orcid":"https://orcid.org/0000-0001-8874-0836"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsien-Pin Hsu","raw_affiliation_strings":["National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-8874-0836","affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053552469","display_name":"Chia\u2010Nan Wang","orcid":"https://orcid.org/0000-0002-2374-3830"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Nan Wang","raw_affiliation_strings":["National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2374-3830","affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387154394"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7558,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76102784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"57743","last_page":"57756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.738587498664856},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6030621528625488},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5895049571990967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5630813837051392},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.5521746873855591},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5178185105323792},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.46005484461784363},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38679513335227966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2641327381134033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11457663774490356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10115808248519897},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.07400724291801453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738587498664856},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6030621528625488},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5895049571990967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5630813837051392},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5521746873855591},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5178185105323792},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.46005484461784363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38679513335227966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2641327381134033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11457663774490356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10115808248519897},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.07400724291801453},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3072831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3072831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09400830.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:883a1c6c571846189b8b90a2e87c4bc8","is_oa":true,"landing_page_url":"https://doaj.org/article/883a1c6c571846189b8b90a2e87c4bc8","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,"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":"IEEE Access, Vol 9, Pp 57743-57756 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3072831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3072831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09400830.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1640452097","display_name":null,"funder_award_id":"NSC 108-2410-H-992-042","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320319304","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/03858r716"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155054639.pdf","grobid_xml":"https://content.openalex.org/works/W3155054639.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W1497256448","https://openalex.org/W2001520573","https://openalex.org/W2012889541","https://openalex.org/W2015709857","https://openalex.org/W2016160210","https://openalex.org/W2026983167","https://openalex.org/W2035816665","https://openalex.org/W2041394620","https://openalex.org/W2044637373","https://openalex.org/W2046609661","https://openalex.org/W2059890236","https://openalex.org/W2078783917","https://openalex.org/W2095494658","https://openalex.org/W2104449783","https://openalex.org/W2106905228","https://openalex.org/W2114348331","https://openalex.org/W2120949969","https://openalex.org/W2121012799","https://openalex.org/W2121530895","https://openalex.org/W2128687743","https://openalex.org/W2142856900","https://openalex.org/W2147948282","https://openalex.org/W2163328610","https://openalex.org/W2315682923","https://openalex.org/W2515764746","https://openalex.org/W2754467697","https://openalex.org/W2781461872","https://openalex.org/W2805563563","https://openalex.org/W2811080977","https://openalex.org/W2884863516","https://openalex.org/W2905187629","https://openalex.org/W2950235217","https://openalex.org/W2964140464","https://openalex.org/W3016336443","https://openalex.org/W3040156722","https://openalex.org/W4394660759","https://openalex.org/W6600754543","https://openalex.org/W6681450160"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W2350084742","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W2353819887","https://openalex.org/W814774360"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,25,53,67,118,146],"hybrid":[4,72,102,126,143,158],"approach":[5,103,127,144],"which":[6,33],"combines":[7],"Improved":[8],"Shuffled":[9,75,107,112],"Frog-Leaping":[10,76,108,113],"Algorithm":[11,77,109],"(ISFLA)":[12],"with":[13,66],"Dynamic":[14],"Programming":[15],"(DP)":[16],"for":[17,56,160],"disassembly":[18,54,136,161],"process":[19,162],"planning":[20],"(DPP).":[21],"The":[22,115,151],"DPP":[23],"is":[24,49,60,78,89],"new":[26],"frontier":[27],"to":[28,45,80,91,117],"the":[29,40,50,61,71,74,82,86,93,100,105,124,130,142,154],"end-of-life":[30],"product":[31],"management":[32],"can":[34,128],"help":[35],"protect":[36],"our":[37],"environment.":[38],"In":[39,70],"DPP,":[41],"two":[42],"tasks":[43],"are":[44],"be":[46],"accomplished.":[47],"One":[48],"determination":[51],"of":[52,63,135,156],"sequence":[55],"components":[57],"and":[58,110,149],"another":[59],"assignment":[62],"each":[64],"component":[65],"responsible":[68],"operator.":[69],"approach,":[73],"used":[79,90],"accomplish":[81],"first":[83],"task":[84],"while":[85],"dynamic":[87],"programming":[88],"complete":[92],"second":[94],"task.":[95],"Preliminary":[96],"experimental":[97],"results":[98,152],"show":[99,140,153],"proposed":[101,125],"outperforms":[104,145],"standard":[106],"improved":[111],"Algorithm.":[114],"comparison":[116],"MILP":[119],"has":[120],"further":[121],"confirmed":[122],"that":[123,141],"find":[129],"optimal/near-optimal":[131],"solution":[132],"in":[133],"terms":[134],"time.":[137],"Further":[138],"experiments":[139],"genetic":[147],"GA":[148],"MA.":[150],"potential":[155],"using":[157],"approaches":[159],"planning.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
