{"id":"https://openalex.org/W2042442330","doi":"https://doi.org/10.1109/icnc.2013.6818006","title":"An effective batching method based on the artificial bee colony algorithm for order picking","display_name":"An effective batching method based on the artificial bee colony algorithm for order picking","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2042442330","doi":"https://doi.org/10.1109/icnc.2013.6818006","mag":"2042442330"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2013.6818006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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/A5100398094","display_name":"Zhonghua Li","orcid":"https://orcid.org/0000-0002-1021-2432"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhonghua Li","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology; Sun Yat-Sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101789321","display_name":"Zijing Zhou","orcid":"https://orcid.org/0000-0003-2317-011X"},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijing Zhou","raw_affiliation_strings":["Department of Information Technology, China Guangfa Bank, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, China Guangfa Bank, Guangzhou, China","institution_ids":["https://openalex.org/I917184967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100398094"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.17262536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":1.0,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":1.0,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9937000274658203,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.7684277296066284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6975185871124268},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6158723831176758},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5698060989379883},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5584360957145691},{"id":"https://openalex.org/keywords/order-picking","display_name":"Order picking","score":0.547879159450531},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5462068319320679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4456421434879303},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.29741814732551575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2198534607887268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14991065859794617}],"concepts":[{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.7684277296066284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975185871124268},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6158723831176758},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5698060989379883},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5584360957145691},{"id":"https://openalex.org/C2779454638","wikidata":"https://www.wikidata.org/wiki/Q7100700","display_name":"Order picking","level":3,"score":0.547879159450531},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5462068319320679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4456421434879303},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.29741814732551575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2198534607887268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14991065859794617},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2013.6818006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1967916060","https://openalex.org/W1987361686","https://openalex.org/W1988119270","https://openalex.org/W2025029363","https://openalex.org/W2035528878","https://openalex.org/W2040028344","https://openalex.org/W2046882004","https://openalex.org/W2060635272","https://openalex.org/W2080007420","https://openalex.org/W2091550641","https://openalex.org/W2114578530","https://openalex.org/W2142714339","https://openalex.org/W2150096732","https://openalex.org/W2945158069","https://openalex.org/W3121984157"],"related_works":["https://openalex.org/W2009678757","https://openalex.org/W3083944492","https://openalex.org/W2755630902","https://openalex.org/W1563127315","https://openalex.org/W2228633674","https://openalex.org/W1995270330","https://openalex.org/W4386716639","https://openalex.org/W4226257868","https://openalex.org/W1486421605","https://openalex.org/W2042442330"],"abstract_inverted_index":{"Order":[0],"picking":[1,148],"costs":[2],"most":[3],"of":[4,22,43,74,105,125],"operating":[5],"expenses":[6],"in":[7,16,46,93,144],"the":[8,18,40,72,101,137],"warehouse":[9],"management.":[10],"Generally,":[11],"order":[12,23,29,44,56,67,106,130,147],"batching":[13,30,45,57,68,113,131],"is":[14,31,36,141],"effective":[15,112],"reducing":[17],"total":[19,102],"travel":[20,103],"distance":[21,104],"picking.":[24],"However,":[25],"how":[26],"to":[27,38,54,135],"realize":[28],"an":[32,111,117],"NP-hard":[33],"problem.":[34],"It":[35],"difficult":[37],"find":[39],"optimal":[41],"solution":[42],"polynomial":[47],"time.":[48],"Some":[49],"deterministic":[50],"methods":[51],"are":[52,63,132],"applied":[53],"small-scale":[55],"problems;":[58],"while":[59],"some":[60],"heuristic":[61],"algorithms":[62,82],"potential":[64,87],"for":[65],"large-scale":[66],"problems.":[69,149],"Inspired":[70],"by":[71],"behaviors":[73],"honey":[75],"bee":[76,79,119],"swarms,":[77],"artificial":[78,118],"colony":[80,120],"(ABC)":[81],"have":[83],"been":[84],"developed":[85],"as":[86],"computational":[88],"approaches":[89],"and":[90,96],"performed":[91],"well":[92],"scientific":[94],"researches":[95],"engineering":[97],"applications.":[98],"To":[99],"minimize":[100],"picking,":[107],"this":[108],"paper":[109],"proposes":[110],"method":[114],"based":[115],"on":[116],"algorithm":[121,140],"(ABC-BM).":[122],"A":[123],"series":[124],"numerical":[126],"simulation":[127],"experiments":[128],"about":[129],"arranged.":[133],"Compared":[134],"GA-BM,":[136],"proposed":[138],"ABC-BM":[139],"more":[142],"efficient":[143],"optimizing":[145],"different-scale":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}