Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136124404> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W3136124404 endingPage "297" @default.
- W3136124404 startingPage "278" @default.
- W3136124404 abstract "We consider Benders decomposition for solving two-stage stochastic programs with complete recourse based on finite samples of the uncertain parameters. We define the Benders cuts binding at the final optimal solution or the ones significantly improving bounds over iterations as valuable cuts. We propose a learning-enhanced Benders decomposition (LearnBD) algorithm, which adds a cut classification step in each iteration to selectively generate cuts that are more likely to be valuable cuts. The LearnBD algorithm includes two phases: (i) sampling cuts and collecting information from training problems and (ii) solving testing problems with a support vector machine (SVM) cut classifier. We run the LearnBD algorithm on instances of capacitated facility location and multicommodity network design under uncertain demand. Our results show that SVM cut classifier works effectively for identifying valuable cuts, and the LearnBD algorithm reduces the total solving time of all instances for different problems with various sizes and complexities." @default.
- W3136124404 created "2021-03-29" @default.
- W3136124404 creator A5029271681 @default.
- W3136124404 creator A5037956034 @default.
- W3136124404 date "2021-07-01" @default.
- W3136124404 modified "2023-10-02" @default.
- W3136124404 title "Benders Cut Classification via Support Vector Machines for Solving Two-Stage Stochastic Programs" @default.
- W3136124404 cites W1569990960 @default.
- W3136124404 cites W1964357740 @default.
- W3136124404 cites W1979519690 @default.
- W3136124404 cites W1983117655 @default.
- W3136124404 cites W1983916623 @default.
- W3136124404 cites W2002307851 @default.
- W3136124404 cites W2003633968 @default.
- W3136124404 cites W2015067034 @default.
- W3136124404 cites W2016083649 @default.
- W3136124404 cites W2017330843 @default.
- W3136124404 cites W2031095045 @default.
- W3136124404 cites W2039333724 @default.
- W3136124404 cites W2044009541 @default.
- W3136124404 cites W2044121814 @default.
- W3136124404 cites W2049819625 @default.
- W3136124404 cites W2051228319 @default.
- W3136124404 cites W2059559546 @default.
- W3136124404 cites W2060208495 @default.
- W3136124404 cites W2072675086 @default.
- W3136124404 cites W2083931873 @default.
- W3136124404 cites W2086522200 @default.
- W3136124404 cites W2104889647 @default.
- W3136124404 cites W2127635925 @default.
- W3136124404 cites W2132673360 @default.
- W3136124404 cites W2149298154 @default.
- W3136124404 cites W2150231272 @default.
- W3136124404 cites W2169427658 @default.
- W3136124404 cites W2344555609 @default.
- W3136124404 cites W2345953693 @default.
- W3136124404 cites W2560324934 @default.
- W3136124404 cites W2563592268 @default.
- W3136124404 cites W2617704759 @default.
- W3136124404 cites W4246026573 @default.
- W3136124404 cites W4250535541 @default.
- W3136124404 doi "https://doi.org/10.1287/ijoo.2019.0050" @default.
- W3136124404 hasPublicationYear "2021" @default.
- W3136124404 type Work @default.
- W3136124404 sameAs 3136124404 @default.
- W3136124404 citedByCount "3" @default.
- W3136124404 countsByYear W31361244042021 @default.
- W3136124404 countsByYear W31361244042022 @default.
- W3136124404 countsByYear W31361244042023 @default.
- W3136124404 crossrefType "journal-article" @default.
- W3136124404 hasAuthorship W3136124404A5029271681 @default.
- W3136124404 hasAuthorship W3136124404A5037956034 @default.
- W3136124404 hasBestOaLocation W31361244041 @default.
- W3136124404 hasConcept C11413529 @default.
- W3136124404 hasConcept C12267149 @default.
- W3136124404 hasConcept C126255220 @default.
- W3136124404 hasConcept C154945302 @default.
- W3136124404 hasConcept C27665512 @default.
- W3136124404 hasConcept C33923547 @default.
- W3136124404 hasConcept C41008148 @default.
- W3136124404 hasConcept C95623464 @default.
- W3136124404 hasConceptScore W3136124404C11413529 @default.
- W3136124404 hasConceptScore W3136124404C12267149 @default.
- W3136124404 hasConceptScore W3136124404C126255220 @default.
- W3136124404 hasConceptScore W3136124404C154945302 @default.
- W3136124404 hasConceptScore W3136124404C27665512 @default.
- W3136124404 hasConceptScore W3136124404C33923547 @default.
- W3136124404 hasConceptScore W3136124404C41008148 @default.
- W3136124404 hasConceptScore W3136124404C95623464 @default.
- W3136124404 hasIssue "3" @default.
- W3136124404 hasLocation W31361244041 @default.
- W3136124404 hasLocation W31361244042 @default.
- W3136124404 hasLocation W31361244043 @default.
- W3136124404 hasOpenAccess W3136124404 @default.
- W3136124404 hasPrimaryLocation W31361244041 @default.
- W3136124404 hasRelatedWork W1999101396 @default.
- W3136124404 hasRelatedWork W2101819884 @default.
- W3136124404 hasRelatedWork W2109197306 @default.
- W3136124404 hasRelatedWork W2153189372 @default.
- W3136124404 hasRelatedWork W2355927362 @default.
- W3136124404 hasRelatedWork W2474469336 @default.
- W3136124404 hasRelatedWork W2772879096 @default.
- W3136124404 hasRelatedWork W3125014997 @default.
- W3136124404 hasRelatedWork W4308093323 @default.
- W3136124404 hasRelatedWork W2345184372 @default.
- W3136124404 hasVolume "3" @default.
- W3136124404 isParatext "false" @default.
- W3136124404 isRetracted "false" @default.
- W3136124404 magId "3136124404" @default.
- W3136124404 workType "article" @default.