000 03160nam a22005175i 4500
001 978-3-319-62893-6
003 DE-He213
005 20220801215204.0
007 cr nn 008mamaa
008 170823s2018 sz | s |||| 0|eng d
020 _a9783319628936
_9978-3-319-62893-6
024 7 _a10.1007/978-3-319-62893-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aRatajczak-Ropel, Ewa.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942874
245 1 0 _aPopulation-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling
_h[electronic resource] /
_cby Ewa Ratajczak-Ropel, Aleksander Skakovski.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXX, 236 p. 48 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v108
520 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aSkakovski, Aleksander.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942875
710 2 _aSpringerLink (Online service)
_942876
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319628929
776 0 8 _iPrinted edition:
_z9783319628943
776 0 8 _iPrinted edition:
_z9783319874227
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v108
_942877
856 4 0 _uhttps://doi.org/10.1007/978-3-319-62893-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77209
_d77209