000 | 03160nam a22005175i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-319-62893-6 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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_aTEC009000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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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. |
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300 |
_aXX, 236 p. 48 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 | ||
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