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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/53295

Title: Repairing Infeasibility in Scheduling via Genetic Algorithms
Author(s): Mencía Cascallana, Raúl
Mencía Cascallana, Carlos
Varela Arias, José Ramiro
Issue date: 2019
Publisher version: http://dx.doi.org/10.1007/978-3-030-19651-6_25
Series/Report no.: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Format extent: p. 254-263
Description: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC (8th. 2019, Almería, Spain)
URI: http://hdl.handle.net/10651/53295
ISBN: 9783030196509
ISSN: 0302-9743
Sponsored: This research is supported by the Spanish Government under project TIN2016-79190-R and by the Principality of Asturias under grant IDI/2018/000176.
Project id.: TIN2016-79190-R
Appears in Collections:Ponencias, Discursos y Conferencias

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