FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2394748150> ?p ?o ?g. }

• W2394748150 endingPage "102" @default.
• W2394748150 startingPage "83" @default.
• W2394748150 abstract "The container pre-marshalling problem (CPMP) is performed at container terminals around the world to re-order containers so that they can be more efficiently transferred through the terminal. We introduce a novel decoder for a biased random-key genetic algorithm (BRKGA) that solves the CPMP. The decoder consists of a construction algorithm that learns how to best apply single and compound containers moves to quickly sort a bay of containers. Our approach finds better solutions than the state-of-the-art method on many instances of the standard pre-marshalling benchmarks in less computational time. Furthermore, we perform a computational analysis of different components of the BRKGA decoder to determine what types of heuristics work best for pre-marshalling problems, as well as conduct a feature space analysis of different pre-marshalling approaches." @default.
• W2394748150 created "2016-06-24" @default.
• W2394748150 creator A5005733219 @default.
• W2394748150 creator A5047606053 @default.
• W2394748150 date "2016-11-01" @default.
• W2394748150 modified "2023-10-02" @default.
• W2394748150 title "A biased random-key genetic algorithm for the container pre-marshalling problem" @default.
• W2394748150 cites W1000639276 @default.
• W2394748150 cites W1471542436 @default.
• W2394748150 cites W1491913659 @default.
• W2394748150 cites W1519963984 @default.
• W2394748150 cites W1896468926 @default.
• W2394748150 cites W1974136890 @default.
• W2394748150 cites W1999861785 @default.
• W2394748150 cites W2001760565 @default.
• W2394748150 cites W2003523115 @default.
• W2394748150 cites W2003616778 @default.
• W2394748150 cites W2008778291 @default.
• W2394748150 cites W2015282174 @default.
• W2394748150 cites W2015717108 @default.
• W2394748150 cites W2018957623 @default.
• W2394748150 cites W2024054675 @default.
• W2394748150 cites W2031041022 @default.
• W2394748150 cites W2037397102 @default.
• W2394748150 cites W2045317807 @default.
• W2394748150 cites W2051316500 @default.
• W2394748150 cites W2051892429 @default.
• W2394748150 cites W2054497239 @default.
• W2394748150 cites W2057300506 @default.
• W2394748150 cites W2060048482 @default.
• W2394748150 cites W2063415846 @default.
• W2394748150 cites W2067728749 @default.
• W2394748150 cites W2071948161 @default.
• W2394748150 cites W2072467116 @default.
• W2394748150 cites W2073453146 @default.
• W2394748150 cites W2082912955 @default.
• W2394748150 cites W2086499064 @default.
• W2394748150 cites W2097698174 @default.
• W2394748150 cites W2146714006 @default.
• W2394748150 cites W2153386665 @default.
• W2394748150 cites W2157190477 @default.
• W2394748150 cites W2168079536 @default.
• W2394748150 cites W3099415544 @default.
• W2394748150 cites W4244206106 @default.
• W2394748150 cites W74657660 @default.
• W2394748150 cites W810065520 @default.
• W2394748150 doi "https://doi.org/10.1016/j.cor.2016.05.011" @default.
• W2394748150 hasPublicationYear "2016" @default.
• W2394748150 type Work @default.
• W2394748150 sameAs 2394748150 @default.
• W2394748150 citedByCount "34" @default.
• W2394748150 countsByYear W23947481502016 @default.
• W2394748150 countsByYear W23947481502017 @default.
• W2394748150 countsByYear W23947481502018 @default.
• W2394748150 countsByYear W23947481502019 @default.
• W2394748150 countsByYear W23947481502020 @default.
• W2394748150 countsByYear W23947481502021 @default.
• W2394748150 countsByYear W23947481502022 @default.
• W2394748150 countsByYear W23947481502023 @default.
• W2394748150 crossrefType "journal-article" @default.
• W2394748150 hasAuthorship W2394748150A5005733219 @default.
• W2394748150 hasAuthorship W2394748150A5047606053 @default.
• W2394748150 hasConcept C111696304 @default.
• W2394748150 hasConcept C111919701 @default.
• W2394748150 hasConcept C11413529 @default.
• W2394748150 hasConcept C119857082 @default.
• W2394748150 hasConcept C126255220 @default.
• W2394748150 hasConcept C127413603 @default.
• W2394748150 hasConcept C127705205 @default.
• W2394748150 hasConcept C206019424 @default.
• W2394748150 hasConcept C26517878 @default.
• W2394748150 hasConcept C2781018962 @default.
• W2394748150 hasConcept C33923547 @default.
• W2394748150 hasConcept C41008148 @default.
• W2394748150 hasConcept C77088390 @default.
• W2394748150 hasConcept C78519656 @default.
• W2394748150 hasConcept C88548561 @default.
• W2394748150 hasConcept C8880873 @default.
• W2394748150 hasConceptScore W2394748150C111696304 @default.
• W2394748150 hasConceptScore W2394748150C111919701 @default.
• W2394748150 hasConceptScore W2394748150C11413529 @default.
• W2394748150 hasConceptScore W2394748150C119857082 @default.
• W2394748150 hasConceptScore W2394748150C126255220 @default.
• W2394748150 hasConceptScore W2394748150C127413603 @default.
• W2394748150 hasConceptScore W2394748150C127705205 @default.
• W2394748150 hasConceptScore W2394748150C206019424 @default.
• W2394748150 hasConceptScore W2394748150C26517878 @default.
• W2394748150 hasConceptScore W2394748150C2781018962 @default.
• W2394748150 hasConceptScore W2394748150C33923547 @default.
• W2394748150 hasConceptScore W2394748150C41008148 @default.
• W2394748150 hasConceptScore W2394748150C77088390 @default.
• W2394748150 hasConceptScore W2394748150C78519656 @default.
• W2394748150 hasConceptScore W2394748150C88548561 @default.
• W2394748150 hasConceptScore W2394748150C8880873 @default.
• W2394748150 hasLocation W23947481501 @default.
• W2394748150 hasOpenAccess W2394748150 @default.
• W2394748150 hasPrimaryLocation W23947481501 @default.
• W2394748150 hasRelatedWork W2003616778 @default.

• next