Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313209532> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4313209532 endingPage "12766" @default.
- W4313209532 startingPage "12766" @default.
- W4313209532 abstract "This paper refers to a machine learning method for solving NP-hard discrete optimization problems, especially planning and scheduling. The method utilizes a special multistage decision process modeling paradigm referred to as the Algebraic Logical Metamodel based learning methods of Multistage Decision Processes (ALMM). Hence, the name of the presented method is the ALMM Based Learning method. This learning method utilizes a specifically built local multicriterion optimization problem that is solved by means of scalarization. This paper describes both the development of such local optimization problems and the concept of the learning process with the fractional derivative mechanism itself. It includes proofs of theorems showing that the ALMM Based Learning method can be defined for a much broader problem class than initially assumed. This significantly extends the range of the prime learning method applications. New generalizations for the prime ALMM Based Learning method, as well as some essential comments on a comparison of Reinforcement Learning with the ALMM Based Learning, are also presented." @default.
- W4313209532 created "2023-01-06" @default.
- W4313209532 creator A5034697319 @default.
- W4313209532 creator A5078755819 @default.
- W4313209532 creator A5080910468 @default.
- W4313209532 date "2022-12-12" @default.
- W4313209532 modified "2023-10-14" @default.
- W4313209532 title "Generalization of ALMM Based Learning Method for Planning and Scheduling" @default.
- W4313209532 cites W193676449 @default.
- W4313209532 cites W1968035636 @default.
- W4313209532 cites W1992955321 @default.
- W4313209532 cites W2004438130 @default.
- W4313209532 cites W2268108326 @default.
- W4313209532 cites W2605640568 @default.
- W4313209532 cites W2767198051 @default.
- W4313209532 cites W2937008266 @default.
- W4313209532 cites W3101704933 @default.
- W4313209532 cites W3170112077 @default.
- W4313209532 cites W4214806295 @default.
- W4313209532 cites W4220657015 @default.
- W4313209532 cites W4224002653 @default.
- W4313209532 cites W4233518571 @default.
- W4313209532 cites W4234556776 @default.
- W4313209532 cites W4285278375 @default.
- W4313209532 cites W4296004260 @default.
- W4313209532 cites W4296625918 @default.
- W4313209532 cites W4312824352 @default.
- W4313209532 doi "https://doi.org/10.3390/app122412766" @default.
- W4313209532 hasPublicationYear "2022" @default.
- W4313209532 type Work @default.
- W4313209532 citedByCount "0" @default.
- W4313209532 crossrefType "journal-article" @default.
- W4313209532 hasAuthorship W4313209532A5034697319 @default.
- W4313209532 hasAuthorship W4313209532A5078755819 @default.
- W4313209532 hasAuthorship W4313209532A5080910468 @default.
- W4313209532 hasBestOaLocation W43132095321 @default.
- W4313209532 hasConcept C108710211 @default.
- W4313209532 hasConcept C119857082 @default.
- W4313209532 hasConcept C126255220 @default.
- W4313209532 hasConcept C134306372 @default.
- W4313209532 hasConcept C154945302 @default.
- W4313209532 hasConcept C177148314 @default.
- W4313209532 hasConcept C206729178 @default.
- W4313209532 hasConcept C24138899 @default.
- W4313209532 hasConcept C2524010 @default.
- W4313209532 hasConcept C33923547 @default.
- W4313209532 hasConcept C41008148 @default.
- W4313209532 hasConcept C50292564 @default.
- W4313209532 hasConcept C77967617 @default.
- W4313209532 hasConcept C97541855 @default.
- W4313209532 hasConceptScore W4313209532C108710211 @default.
- W4313209532 hasConceptScore W4313209532C119857082 @default.
- W4313209532 hasConceptScore W4313209532C126255220 @default.
- W4313209532 hasConceptScore W4313209532C134306372 @default.
- W4313209532 hasConceptScore W4313209532C154945302 @default.
- W4313209532 hasConceptScore W4313209532C177148314 @default.
- W4313209532 hasConceptScore W4313209532C206729178 @default.
- W4313209532 hasConceptScore W4313209532C24138899 @default.
- W4313209532 hasConceptScore W4313209532C2524010 @default.
- W4313209532 hasConceptScore W4313209532C33923547 @default.
- W4313209532 hasConceptScore W4313209532C41008148 @default.
- W4313209532 hasConceptScore W4313209532C50292564 @default.
- W4313209532 hasConceptScore W4313209532C77967617 @default.
- W4313209532 hasConceptScore W4313209532C97541855 @default.
- W4313209532 hasIssue "24" @default.
- W4313209532 hasLocation W43132095321 @default.
- W4313209532 hasLocation W43132095322 @default.
- W4313209532 hasOpenAccess W4313209532 @default.
- W4313209532 hasPrimaryLocation W43132095321 @default.
- W4313209532 hasRelatedWork W2954428433 @default.
- W4313209532 hasRelatedWork W3025582806 @default.
- W4313209532 hasRelatedWork W3047894882 @default.
- W4313209532 hasRelatedWork W3136151706 @default.
- W4313209532 hasRelatedWork W3196155444 @default.
- W4313209532 hasRelatedWork W3208584567 @default.
- W4313209532 hasRelatedWork W4306321456 @default.
- W4313209532 hasRelatedWork W4320063314 @default.
- W4313209532 hasRelatedWork W4366320140 @default.
- W4313209532 hasRelatedWork W4224009465 @default.
- W4313209532 hasVolume "12" @default.
- W4313209532 isParatext "false" @default.
- W4313209532 isRetracted "false" @default.
- W4313209532 workType "article" @default.