Matches in SemOpenAlex for { <https://semopenalex.org/work/W2726644014> ?p ?o ?g. }
- W2726644014 endingPage "709" @default.
- W2726644014 startingPage "691" @default.
- W2726644014 abstract "Various challenging constraints must be satisfied in railway alignment design for topographically complex mountainous regions. The alignment design for such environments is so challenging that existing methodologies have great difficulties in automatically generating viable railway alignment alternatives. We solve this problem with a hybrid method in which a bidirectional distance transform DT algorithm automatically selects control points before a genetic algorithm GA refines the alignment. This approach solves the problems of 1 determining the appropriate distribution of control points in the GA and 2 producing alignments that deviate significantly from the DT-optimized paths. Automatic design of backtracking curves and dynamic generation of vertical points of intersection handling multiple constraints are developed to improve the GA performance. This method has been applied to a real case on the Sichuan-Tibet Railway where excessively severe natural gradients must be overcome. It automatically finds an alignment optimized for the given objectives and complex constraints, as well as various promising alternatives." @default.
- W2726644014 created "2017-07-14" @default.
- W2726644014 creator A5002397232 @default.
- W2726644014 creator A5005983977 @default.
- W2726644014 creator A5022846170 @default.
- W2726644014 creator A5043175886 @default.
- W2726644014 creator A5048758163 @default.
- W2726644014 creator A5050881992 @default.
- W2726644014 creator A5058588337 @default.
- W2726644014 date "2017-06-29" @default.
- W2726644014 modified "2023-10-17" @default.
- W2726644014 title "Mountain Railway Alignment Optimization with Bidirectional Distance Transform and Genetic Algorithm" @default.
- W2726644014 cites W1480195994 @default.
- W2726644014 cites W1897909895 @default.
- W2726644014 cites W1908672095 @default.
- W2726644014 cites W1952710116 @default.
- W2726644014 cites W1969495641 @default.
- W2726644014 cites W1969848770 @default.
- W2726644014 cites W1973420752 @default.
- W2726644014 cites W1978613270 @default.
- W2726644014 cites W1981418042 @default.
- W2726644014 cites W1981934656 @default.
- W2726644014 cites W1990257465 @default.
- W2726644014 cites W1998056562 @default.
- W2726644014 cites W1998855065 @default.
- W2726644014 cites W2007156999 @default.
- W2726644014 cites W2009375580 @default.
- W2726644014 cites W2016537690 @default.
- W2726644014 cites W2018496892 @default.
- W2726644014 cites W2020270264 @default.
- W2726644014 cites W2028667732 @default.
- W2726644014 cites W2031780366 @default.
- W2726644014 cites W2060021525 @default.
- W2726644014 cites W2067342414 @default.
- W2726644014 cites W2070080610 @default.
- W2726644014 cites W2073808436 @default.
- W2726644014 cites W2077248045 @default.
- W2726644014 cites W2077777572 @default.
- W2726644014 cites W2078161768 @default.
- W2726644014 cites W2080569432 @default.
- W2726644014 cites W2091526895 @default.
- W2726644014 cites W2092178231 @default.
- W2726644014 cites W2094095441 @default.
- W2726644014 cites W2107074868 @default.
- W2726644014 cites W2108913631 @default.
- W2726644014 cites W2124150263 @default.
- W2726644014 cites W2133270098 @default.
- W2726644014 cites W2148117337 @default.
- W2726644014 cites W2152584317 @default.
- W2726644014 cites W2154296678 @default.
- W2726644014 cites W2155195832 @default.
- W2726644014 cites W2158240273 @default.
- W2726644014 cites W2159238386 @default.
- W2726644014 cites W2168663707 @default.
- W2726644014 cites W2171297181 @default.
- W2726644014 cites W2176653498 @default.
- W2726644014 cites W2325099532 @default.
- W2726644014 cites W2398485587 @default.
- W2726644014 cites W2467577705 @default.
- W2726644014 cites W2502108653 @default.
- W2726644014 cites W2963788824 @default.
- W2726644014 cites W4231739381 @default.
- W2726644014 cites W790830136 @default.
- W2726644014 doi "https://doi.org/10.1111/mice.12280" @default.
- W2726644014 hasPublicationYear "2017" @default.
- W2726644014 type Work @default.
- W2726644014 sameAs 2726644014 @default.
- W2726644014 citedByCount "76" @default.
- W2726644014 countsByYear W27266440142017 @default.
- W2726644014 countsByYear W27266440142018 @default.
- W2726644014 countsByYear W27266440142019 @default.
- W2726644014 countsByYear W27266440142020 @default.
- W2726644014 countsByYear W27266440142021 @default.
- W2726644014 countsByYear W27266440142022 @default.
- W2726644014 countsByYear W27266440142023 @default.
- W2726644014 crossrefType "journal-article" @default.
- W2726644014 hasAuthorship W2726644014A5002397232 @default.
- W2726644014 hasAuthorship W2726644014A5005983977 @default.
- W2726644014 hasAuthorship W2726644014A5022846170 @default.
- W2726644014 hasAuthorship W2726644014A5043175886 @default.
- W2726644014 hasAuthorship W2726644014A5048758163 @default.
- W2726644014 hasAuthorship W2726644014A5050881992 @default.
- W2726644014 hasAuthorship W2726644014A5058588337 @default.
- W2726644014 hasConcept C11413529 @default.
- W2726644014 hasConcept C119857082 @default.
- W2726644014 hasConcept C126255220 @default.
- W2726644014 hasConcept C2987595161 @default.
- W2726644014 hasConcept C33923547 @default.
- W2726644014 hasConcept C41008148 @default.
- W2726644014 hasConcept C8880873 @default.
- W2726644014 hasConceptScore W2726644014C11413529 @default.
- W2726644014 hasConceptScore W2726644014C119857082 @default.
- W2726644014 hasConceptScore W2726644014C126255220 @default.
- W2726644014 hasConceptScore W2726644014C2987595161 @default.
- W2726644014 hasConceptScore W2726644014C33923547 @default.
- W2726644014 hasConceptScore W2726644014C41008148 @default.
- W2726644014 hasConceptScore W2726644014C8880873 @default.
- W2726644014 hasFunder F4320321001 @default.