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020 _a9783319628936
024 7 _a10.1007/978-3-319-62893-6
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTS157.5
_bR383 2018 EB
100 1 _aRatajczak-Ropel, Ewa.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/23152682488923310203/
245 1 0 _aPopulation-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling
_cby Ewa Ratajczak-Ropel, Aleksander Skakovski.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XX, 236 páginas 48 ilustraciones)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Systems, Decision and Control,
_x2198-4182
_v108
490 0 _aEngineering (Springer-11647)
520 3 _aThis book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration. The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.
988 _aEBSPRINGER_2018
650 7 _2embne
_9150644
_aGestión de la producción
700 1 _aSkakovski, Aleksander.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/242144782719090232611/
776 0 8 _iEdición impresa:
_z9783319628929
776 0 8 _iEdición impresa:
_z9783319628943
776 0 8 _iEdición impresa:
_z9783319874227
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-62893-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE