Matches in SemOpenAlex for { <https://semopenalex.org/work/W338045269> ?p ?o ?g. }
- W338045269 endingPage "14" @default.
- W338045269 startingPage "2" @default.
- W338045269 abstract "Maximization of operational efficiency and minimization of cost are pursued by terminal operators, whereas daytime preference is increasingly emphasized by governments, terminal operators and workers. Daytime preference in berth allocation schedule refers to schedule the workloads in nights as fewer as possible, which improves working comfort, safety, and green and energy-savings degrees, but may decrease the throughput and total operational efficiency. By extending existing dynamic discrete berth allocation model, a bi-objective model considering daytime preference is established to minimize the delayed workloads and the workloads in nights. Based on the well known NSGA-II algorithm, a multi-objective genetic algorithm (moGA) is developed for solving the bi-objective model by using a two-part representation scheme. The sensitivities of the algorithmic parameters and tradeoffs between daytime preference and delayed workloads are analyzed by numerical experiments. The algorithmic aspects of the proposed approach and the effects of daytime preference on solutions are all examined. Finally, the managerial implications are discussed." @default.
- W338045269 created "2016-06-24" @default.
- W338045269 creator A5010231465 @default.
- W338045269 date "2015-11-01" @default.
- W338045269 modified "2023-10-18" @default.
- W338045269 title "Multi-objective genetic algorithm for berth allocation problem considering daytime preference" @default.
- W338045269 cites W1588246947 @default.
- W338045269 cites W1825846580 @default.
- W338045269 cites W1964558001 @default.
- W338045269 cites W1967542657 @default.
- W338045269 cites W1968350460 @default.
- W338045269 cites W1968535060 @default.
- W338045269 cites W1973148075 @default.
- W338045269 cites W1979194072 @default.
- W338045269 cites W1983526075 @default.
- W338045269 cites W1989482858 @default.
- W338045269 cites W1998748861 @default.
- W338045269 cites W1998958897 @default.
- W338045269 cites W2000873254 @default.
- W338045269 cites W2004480472 @default.
- W338045269 cites W2010615442 @default.
- W338045269 cites W2012094500 @default.
- W338045269 cites W2017332073 @default.
- W338045269 cites W2018957623 @default.
- W338045269 cites W2027603927 @default.
- W338045269 cites W2029932115 @default.
- W338045269 cites W2032738706 @default.
- W338045269 cites W2045193520 @default.
- W338045269 cites W2052552187 @default.
- W338045269 cites W2055186906 @default.
- W338045269 cites W2057300506 @default.
- W338045269 cites W2058374293 @default.
- W338045269 cites W2059499091 @default.
- W338045269 cites W2063415846 @default.
- W338045269 cites W2069479298 @default.
- W338045269 cites W2072979369 @default.
- W338045269 cites W2074506596 @default.
- W338045269 cites W2082832591 @default.
- W338045269 cites W2098907614 @default.
- W338045269 cites W2100286463 @default.
- W338045269 cites W2104224518 @default.
- W338045269 cites W2106334424 @default.
- W338045269 cites W2120775047 @default.
- W338045269 cites W2120833128 @default.
- W338045269 cites W2124896084 @default.
- W338045269 cites W2125899728 @default.
- W338045269 cites W2126105956 @default.
- W338045269 cites W2127500797 @default.
- W338045269 cites W2138315018 @default.
- W338045269 cites W2141617282 @default.
- W338045269 cites W2151843347 @default.
- W338045269 cites W2155019998 @default.
- W338045269 cites W216915043 @default.
- W338045269 cites W4229678751 @default.
- W338045269 cites W4247729424 @default.
- W338045269 doi "https://doi.org/10.1016/j.cie.2015.04.035" @default.
- W338045269 hasPublicationYear "2015" @default.
- W338045269 type Work @default.
- W338045269 sameAs 338045269 @default.
- W338045269 citedByCount "25" @default.
- W338045269 countsByYear W3380452692016 @default.
- W338045269 countsByYear W3380452692017 @default.
- W338045269 countsByYear W3380452692018 @default.
- W338045269 countsByYear W3380452692019 @default.
- W338045269 countsByYear W3380452692021 @default.
- W338045269 countsByYear W3380452692022 @default.
- W338045269 countsByYear W3380452692023 @default.
- W338045269 crossrefType "journal-article" @default.
- W338045269 hasAuthorship W338045269A5010231465 @default.
- W338045269 hasConcept C105795698 @default.
- W338045269 hasConcept C111919701 @default.
- W338045269 hasConcept C126255220 @default.
- W338045269 hasConcept C127313418 @default.
- W338045269 hasConcept C127413603 @default.
- W338045269 hasConcept C147764199 @default.
- W338045269 hasConcept C162725370 @default.
- W338045269 hasConcept C2776330181 @default.
- W338045269 hasConcept C2781249084 @default.
- W338045269 hasConcept C33923547 @default.
- W338045269 hasConcept C41008148 @default.
- W338045269 hasConcept C42475967 @default.
- W338045269 hasConcept C68387754 @default.
- W338045269 hasConcept C8880873 @default.
- W338045269 hasConcept C91586092 @default.
- W338045269 hasConceptScore W338045269C105795698 @default.
- W338045269 hasConceptScore W338045269C111919701 @default.
- W338045269 hasConceptScore W338045269C126255220 @default.
- W338045269 hasConceptScore W338045269C127313418 @default.
- W338045269 hasConceptScore W338045269C127413603 @default.
- W338045269 hasConceptScore W338045269C147764199 @default.
- W338045269 hasConceptScore W338045269C162725370 @default.
- W338045269 hasConceptScore W338045269C2776330181 @default.
- W338045269 hasConceptScore W338045269C2781249084 @default.
- W338045269 hasConceptScore W338045269C33923547 @default.
- W338045269 hasConceptScore W338045269C41008148 @default.
- W338045269 hasConceptScore W338045269C42475967 @default.
- W338045269 hasConceptScore W338045269C68387754 @default.
- W338045269 hasConceptScore W338045269C8880873 @default.