Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890623929> ?p ?o ?g. }
- W2890623929 endingPage "38" @default.
- W2890623929 startingPage "22" @default.
- W2890623929 abstract "Extending the concept of time-space networks, layered graphs associate information about one or multiple resource state values with nodes and arcs. While integer programming formulations based on them allow to model complex problems comparably easy, their large size makes them hard to solve for non-trivial instances. We detail and classify layered graph modeling techniques that have been used in the (recent) scientific literature and review methods to successfully solve the resulting large-scale, extended formulations. Modeling guidelines and important observations concerning the solution of layered graph formulations by decomposition methods are given together with several future research directions." @default.
- W2890623929 created "2018-09-27" @default.
- W2890623929 creator A5017238021 @default.
- W2890623929 creator A5024184384 @default.
- W2890623929 creator A5044901813 @default.
- W2890623929 date "2019-02-01" @default.
- W2890623929 modified "2023-09-29" @default.
- W2890623929 title "Layered graph approaches for combinatorial optimization problems" @default.
- W2890623929 cites W1791125896 @default.
- W2890623929 cites W1965956451 @default.
- W2890623929 cites W1971023354 @default.
- W2890623929 cites W1980866126 @default.
- W2890623929 cites W1982862520 @default.
- W2890623929 cites W1990021722 @default.
- W2890623929 cites W1990399046 @default.
- W2890623929 cites W1998126277 @default.
- W2890623929 cites W2005820728 @default.
- W2890623929 cites W2008133042 @default.
- W2890623929 cites W2012125051 @default.
- W2890623929 cites W2012910071 @default.
- W2890623929 cites W2018269848 @default.
- W2890623929 cites W2019969894 @default.
- W2890623929 cites W2020586530 @default.
- W2890623929 cites W2021041629 @default.
- W2890623929 cites W2026420755 @default.
- W2890623929 cites W2029242918 @default.
- W2890623929 cites W2039823842 @default.
- W2890623929 cites W2040865164 @default.
- W2890623929 cites W2051369225 @default.
- W2890623929 cites W2052035035 @default.
- W2890623929 cites W2052118269 @default.
- W2890623929 cites W2056973373 @default.
- W2890623929 cites W2062496262 @default.
- W2890623929 cites W2072136110 @default.
- W2890623929 cites W2080484716 @default.
- W2890623929 cites W2087324063 @default.
- W2890623929 cites W2092481826 @default.
- W2890623929 cites W2094626628 @default.
- W2890623929 cites W2100344930 @default.
- W2890623929 cites W2107612355 @default.
- W2890623929 cites W2114335282 @default.
- W2890623929 cites W2115715611 @default.
- W2890623929 cites W2119678763 @default.
- W2890623929 cites W2122268482 @default.
- W2890623929 cites W2136190246 @default.
- W2890623929 cites W2141018803 @default.
- W2890623929 cites W2145568361 @default.
- W2890623929 cites W2154338060 @default.
- W2890623929 cites W2162009963 @default.
- W2890623929 cites W2203738488 @default.
- W2890623929 cites W2292895089 @default.
- W2890623929 cites W2296679062 @default.
- W2890623929 cites W2522051431 @default.
- W2890623929 cites W2531214128 @default.
- W2890623929 cites W2588888080 @default.
- W2890623929 cites W2599096304 @default.
- W2890623929 cites W2611447099 @default.
- W2890623929 cites W2737966930 @default.
- W2890623929 cites W2770726825 @default.
- W2890623929 cites W2803872014 @default.
- W2890623929 cites W2804972467 @default.
- W2890623929 cites W4245460500 @default.
- W2890623929 cites W4246707514 @default.
- W2890623929 cites W2745506364 @default.
- W2890623929 doi "https://doi.org/10.1016/j.cor.2018.09.007" @default.
- W2890623929 hasPublicationYear "2019" @default.
- W2890623929 type Work @default.
- W2890623929 sameAs 2890623929 @default.
- W2890623929 citedByCount "21" @default.
- W2890623929 countsByYear W28906239292018 @default.
- W2890623929 countsByYear W28906239292019 @default.
- W2890623929 countsByYear W28906239292020 @default.
- W2890623929 countsByYear W28906239292021 @default.
- W2890623929 countsByYear W28906239292022 @default.
- W2890623929 countsByYear W28906239292023 @default.
- W2890623929 crossrefType "journal-article" @default.
- W2890623929 hasAuthorship W2890623929A5017238021 @default.
- W2890623929 hasAuthorship W2890623929A5024184384 @default.
- W2890623929 hasAuthorship W2890623929A5044901813 @default.
- W2890623929 hasBestOaLocation W28906239292 @default.
- W2890623929 hasConcept C11413529 @default.
- W2890623929 hasConcept C124681953 @default.
- W2890623929 hasConcept C126255220 @default.
- W2890623929 hasConcept C132525143 @default.
- W2890623929 hasConcept C18903297 @default.
- W2890623929 hasConcept C33923547 @default.
- W2890623929 hasConcept C41008148 @default.
- W2890623929 hasConcept C52692508 @default.
- W2890623929 hasConcept C56086750 @default.
- W2890623929 hasConcept C80444323 @default.
- W2890623929 hasConcept C86803240 @default.
- W2890623929 hasConceptScore W2890623929C11413529 @default.
- W2890623929 hasConceptScore W2890623929C124681953 @default.
- W2890623929 hasConceptScore W2890623929C126255220 @default.
- W2890623929 hasConceptScore W2890623929C132525143 @default.
- W2890623929 hasConceptScore W2890623929C18903297 @default.
- W2890623929 hasConceptScore W2890623929C33923547 @default.
- W2890623929 hasConceptScore W2890623929C41008148 @default.