{"id":"https://openalex.org/W3046864404","doi":"https://doi.org/10.1145/3377929.3389910","title":"Dynamic vessel-to-vessel routing using level-wise evolutionary optimization","display_name":"Dynamic vessel-to-vessel routing using level-wise evolutionary optimization","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046864404","doi":"https://doi.org/10.1145/3377929.3389910","mag":"3046864404"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5034978686","display_name":"Yash Vesikar","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yash Vesikar","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047107500","display_name":"Julian Blank","orcid":"https://orcid.org/0000-0002-2227-6476"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Blank","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004892560","display_name":"Markku Kalio","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Markku Kalio","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082115292","display_name":"Alaleh Maskooki","orcid":"https://orcid.org/0000-0002-0909-3974"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alaleh Maskooki","raw_affiliation_strings":["Univrsity of Turku, Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Univrsity of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034978686"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12079521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987000226974487,"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":0.9987000226974487,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983999729156494,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976999759674072,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.669114887714386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385766863822937},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5976964235305786},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.5517617464065552},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5313390493392944},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4851473271846771},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.421662300825119},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41321492195129395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23874998092651367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19672173261642456}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.669114887714386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385766863822937},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5976964235305786},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.5517617464065552},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5313390493392944},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4851473271846771},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.421662300825119},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41321492195129395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23874998092651367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19672173261642456}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3389910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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":1,"referenced_works":["https://openalex.org/W3021613070"],"related_works":["https://openalex.org/W1525389557","https://openalex.org/W2361554335","https://openalex.org/W2164188042","https://openalex.org/W2359992618","https://openalex.org/W2054495636","https://openalex.org/W4306878646","https://openalex.org/W3005108979","https://openalex.org/W2913191894","https://openalex.org/W3157689847","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Modern":[0],"practical":[1],"optimization":[2,17],"problems":[3,24],"are":[4,152],"too":[5,19],"often":[6],"complex,":[7],"nonlinear,":[8],"large-dimensional,":[9],"and":[10,15,80,99,171],"sometimes":[11],"dynamic":[12,57],"making":[13],"gradient-based":[14],"convex":[16],"methods":[18],"inefficient.":[20],"Moreover,":[21],"most":[22],"such":[23],"which":[25],"must":[26,42,72],"be":[27],"solved":[28],"for":[29,165],"a":[30,44,53,56,64,87,101,108,119,124,141,173],"reasonably":[31],"approximate":[32],"solution":[33],"routinely":[34],"in":[35,84,97,118,140],"every":[36,40],"few":[37],"hours":[38],"or":[39],"day":[41],"use":[43],"computationally":[45],"fast":[46],"algorithm.":[47],"In":[48,63],"this":[49],"paper,":[50],"we":[51,129],"present":[52],"formulation":[54],"of":[55,66,143],"vessel-to-vessel":[58],"service":[59,70],"ship":[60,71],"scheduling":[61],"problem.":[62,105],"span":[65],"several":[67],"hours,":[68],"the":[69,82,93,144,148],"visit":[73],"as":[74,78,85,90],"many":[75],"moving":[76],"vessels":[77],"possible":[79],"complete":[81],"trip":[83],"small":[86],"travel":[88],"time":[89,145],"possible.":[91],"Thus,":[92],"problem":[94],"is":[95],"bi-objective":[96],"nature":[98],"involves":[100],"time-dependent":[102],"traveling":[103],"salesman":[104],"We":[106,151],"develop":[107],"level-wise":[109],"customized":[110,133],"evolutionary":[111,134],"algorithm":[112,135],"to":[113,123],"find":[114],"multiple":[115,167],"trade-off":[116,168],"solutions":[117],"generative":[120],"manner.":[121],"Compared":[122],"mixed-integer":[125],"programming":[126],"(MIP)":[127],"algorithm,":[128],"demonstrate":[130],"that":[131],"our":[132,162],"achieves":[136],"similar":[137],"quality":[138],"schedules":[139,169],"fraction":[142],"required":[146],"by":[147],"MIP":[149],"solver.":[150],"currently":[153],"developing":[154],"an":[155],"interactive":[156],"decision":[157],"support":[158],"tool":[159],"based":[160],"on":[161],"proposed":[163],"method":[164],"finding":[166],"simultaneously":[170],"selecting":[172],"single":[174],"preferred":[175],"one.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}