{"id":"https://openalex.org/W2731022147","doi":"https://doi.org/10.1109/cec.2017.7969510","title":"Multi-objective memetic algorithm based on request prediction for dynamic pickup-and-delivery problems","display_name":"Multi-objective memetic algorithm based on request prediction for dynamic pickup-and-delivery problems","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2731022147","doi":"https://doi.org/10.1109/cec.2017.7969510","mag":"2731022147"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103108536","display_name":"Yanming Yang","orcid":"https://orcid.org/0000-0002-6248-6734"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Yang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015217863","display_name":"Yiwen Sun","orcid":"https://orcid.org/0000-0003-0506-7899"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Sun","raw_affiliation_strings":["Department of Biomedical Engineering, Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Zhu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9976999759674072,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9976999759674072,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9970999956130981,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.989300012588501,"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/memetic-algorithm","display_name":"Memetic algorithm","score":0.9361896514892578},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7980294227600098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242671251296997},{"id":"https://openalex.org/keywords/pickup","display_name":"Pickup","score":0.6545883417129517},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5474730730056763},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4990360736846924},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48920249938964844},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4728569984436035},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4239787459373474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3887891173362732},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3339568078517914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3030279874801636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26190465688705444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1382148563861847}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.9361896514892578},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7980294227600098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242671251296997},{"id":"https://openalex.org/C2776221269","wikidata":"https://www.wikidata.org/wiki/Q572648","display_name":"Pickup","level":3,"score":0.6545883417129517},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5474730730056763},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4990360736846924},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48920249938964844},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4728569984436035},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4239787459373474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3887891173362732},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3339568078517914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3030279874801636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26190465688705444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1382148563861847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2017.7969510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1542437639","https://openalex.org/W1558919105","https://openalex.org/W1678889691","https://openalex.org/W1741039774","https://openalex.org/W2010418932","https://openalex.org/W2026904884","https://openalex.org/W2029704385","https://openalex.org/W2030403959","https://openalex.org/W2050403199","https://openalex.org/W2056638946","https://openalex.org/W2075952611","https://openalex.org/W2111603444","https://openalex.org/W2126105956","https://openalex.org/W2177916571","https://openalex.org/W2281526031","https://openalex.org/W2471268145","https://openalex.org/W2509443534","https://openalex.org/W2557275042","https://openalex.org/W6632410151"],"related_works":["https://openalex.org/W2163647484","https://openalex.org/W4293253022","https://openalex.org/W47248985","https://openalex.org/W2000270779","https://openalex.org/W2129486222","https://openalex.org/W3144175025","https://openalex.org/W1778024729","https://openalex.org/W2042716007","https://openalex.org/W1587473980","https://openalex.org/W1980841486"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,61,68],"multi-objective":[4,56,64],"memetic":[5,57],"algorithm":[6,58,66,76],"based":[7,30,71],"on":[8,31,79],"request":[9],"prediction":[10],"for":[11],"route":[12,48],"planning":[13],"in":[14],"dynamic":[15,28],"pickup-and-delivery":[16],"problems.":[17],"Historical":[18],"data":[19],"are":[20,35,53],"used":[21],"to":[22],"predict":[23],"the":[24,41,84,88,91],"occurrence":[25],"of":[26,63,90],"new":[27],"requests,":[29],"which":[32],"predictive":[33],"routes":[34],"planned":[36],"and":[37,50,67,83],"tuned":[38],"subsequently":[39],"as":[40],"real":[42],"requests":[43],"occur.":[44],"Two":[45],"objectives":[46],"namely":[47],"length":[49],"response":[51],"time":[52],"optimized":[54],"using":[55],"that":[59],"is":[60,77],"synergy":[62],"genetic":[65],"locality-sensitive":[69],"hashing":[70],"local":[72],"search.":[73],"The":[74],"proposed":[75],"tested":[78],"three":[80],"benchmark":[81],"problems":[82],"experimental":[85],"results":[86],"demonstrate":[87],"efficiency":[89],"algorithm.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
