{"id":"https://openalex.org/W3170652445","doi":"https://doi.org/10.1007/s40747-021-00410-0","title":"Hybrid evolutionary optimization for takeaway order selection and delivery path planning utilizing habit data","display_name":"Hybrid evolutionary optimization for takeaway order selection and delivery path planning utilizing habit data","publication_year":2021,"publication_date":"2021-06-02","ids":{"openalex":"https://openalex.org/W3170652445","doi":"https://doi.org/10.1007/s40747-021-00410-0","mag":"3170652445"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-021-00410-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00410-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00410-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00410-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102999256","display_name":"Minxia Zhang","orcid":"https://orcid.org/0000-0002-3091-6285"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min-Xia Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103138431","display_name":"Jiayu Wu","orcid":"https://orcid.org/0009-0008-4612-1357"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Yu Wu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028252510","display_name":"Xue Wu","orcid":"https://orcid.org/0000-0002-2607-8717"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615959","display_name":"Yu\u2010Jun Zheng","orcid":"https://orcid.org/0000-0002-6095-6325"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu-Jun Zheng","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6095-6325","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100615959"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":2.1137,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88635463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"4425","last_page":"4440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9994999766349792,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9994999766349792,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9991999864578247,"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.6665323972702026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639690101146698},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6250070333480835},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6152750253677368},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5711936950683594},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5006396770477295},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"Customer satisfaction","score":0.4339463412761688},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41188502311706543},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3493354618549347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29543375968933105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19539308547973633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.161941796541214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1463019847869873},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1131598949432373}],"concepts":[{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.6665323972702026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639690101146698},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6250070333480835},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6152750253677368},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5711936950683594},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5006396770477295},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.4339463412761688},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41188502311706543},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3493354618549347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29543375968933105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19539308547973633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.161941796541214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1463019847869873},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1131598949432373},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-021-00410-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00410-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00410-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-021-00410-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00410-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00410-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2197544993","display_name":null,"funder_award_id":"61872123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5113232420","display_name":null,"funder_award_id":"LR20F030002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3170652445.pdf","grobid_xml":"https://content.openalex.org/works/W3170652445.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W174230839","https://openalex.org/W203948308","https://openalex.org/W1568419485","https://openalex.org/W1586409345","https://openalex.org/W1973494611","https://openalex.org/W1988739252","https://openalex.org/W2000753909","https://openalex.org/W2034288630","https://openalex.org/W2048314949","https://openalex.org/W2081230102","https://openalex.org/W2091564852","https://openalex.org/W2093017852","https://openalex.org/W2094859983","https://openalex.org/W2104670598","https://openalex.org/W2126018595","https://openalex.org/W2126105956","https://openalex.org/W2168081761","https://openalex.org/W2300857673","https://openalex.org/W2431691126","https://openalex.org/W2613585842","https://openalex.org/W2754624078","https://openalex.org/W2763094991","https://openalex.org/W2786610776","https://openalex.org/W2808457145","https://openalex.org/W2907309323","https://openalex.org/W2914841612","https://openalex.org/W2924100839","https://openalex.org/W2947601823","https://openalex.org/W2955971982","https://openalex.org/W2964394895","https://openalex.org/W2965053820","https://openalex.org/W2965311909","https://openalex.org/W2965368348","https://openalex.org/W3000095521","https://openalex.org/W3002603824","https://openalex.org/W3006255088","https://openalex.org/W3007110486","https://openalex.org/W3032287026","https://openalex.org/W3035873712","https://openalex.org/W3041724256","https://openalex.org/W3043752008","https://openalex.org/W3081126571","https://openalex.org/W3087066227","https://openalex.org/W3103564543","https://openalex.org/W3121214773","https://openalex.org/W3124059897","https://openalex.org/W3131397694","https://openalex.org/W3131491648","https://openalex.org/W3132226009","https://openalex.org/W3167409552"],"related_works":["https://openalex.org/W2112601096","https://openalex.org/W2133684662","https://openalex.org/W53659949","https://openalex.org/W2035499648","https://openalex.org/W1980814829","https://openalex.org/W2996413252","https://openalex.org/W2083030584","https://openalex.org/W1555693598","https://openalex.org/W2106831393","https://openalex.org/W3160962389"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"last":[2],"years":[3],"have":[4,36],"seen":[5],"a":[6,17,43,54,120,130,188],"rapid":[7],"growth":[8],"of":[9,19,26,67,89,115,182,190],"the":[10,30,65,72,136,146,157,179,183],"takeaway":[11,27],"delivery":[12,60,80,158,175],"market,":[13],"which":[14,68,107,134],"has":[15],"provided":[16],"lot":[18],"jobs":[20],"for":[21,63,86,160],"deliverymen.":[22,48],"However,":[23],"increasing":[24],"numbers":[25],"orders":[28],"and":[29,33,40,59,91,103,117,151],"corresponding":[31],"pickup":[32],"service":[34],"points":[35],"made":[37],"order":[38,57,100,148,162],"selection":[39,58,149,163],"path":[41,61,81,159],"planning":[42,62],"key":[44],"challenging":[45],"problem":[46,55,150],"to":[47,70,78,142,145,155,187],"In":[49],"this":[50,126],"paper,":[51],"we":[52,97,128],"present":[53],"integrating":[56],"deliverymen,":[64],"objective":[66],"is":[69],"maximize":[71],"revenue":[73],"per":[74],"unit":[75],"time":[76,102],"subject":[77],"maximum":[79],"length,":[82],"overdue":[83],"penalty,":[84],"reward/penalty":[85],"large/small":[87],"number":[88],"orders,":[90],"high":[92],"customer":[93,104],"scoring":[94],"reward.":[95],"Particularly,":[96],"consider":[98],"uncertain":[99],"ready":[101],"satisfaction":[105],"level,":[106],"are":[108],"estimated":[109],"based":[110,171],"on":[111,167,172],"historical":[112],"habit":[113],"data":[114,177],"stores":[116],"customers":[118],"using":[119],"machine-learning":[121],"approach.":[122],"To":[123],"efficiently":[124],"solve":[125],"problem,":[127],"propose":[129],"hybrid":[131],"evolutionary":[132],"algorithm,":[133],"adapts":[135],"water":[137],"wave":[138],"optimization":[139,193],"(WWO)":[140],"metaheuristic":[141,192],"evolve":[143],"solutions":[144],"main":[147],"employs":[152],"tabu":[153],"search":[154],"route":[156],"each":[161],"solution.":[164],"Experimental":[165],"results":[166],"test":[168],"instances":[169],"constructed":[170],"real":[173],"food":[174],"application":[176],"demonstrate":[178],"performance":[180],"advantages":[181],"proposed":[184],"algorithm":[185],"compared":[186],"set":[189],"popular":[191],"algorithms.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}