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_aSpringerLink (Online service) _9106996 |
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_c111427 _d111427 |
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| 001 | 111427 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113511.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 180606s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783319913414 | ||
| 024 | 7 |
_a10.1007/978-3-319-91341-4 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aQ337.3 _b2019 EB |
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| 245 | 0 | 0 |
_aEvolutionary and swarm intelligence algorithms _cedited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019 |
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| 300 |
_a1 recurso en línea (X, 190 páginas) _b57 ilustraciones, 21 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v779 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aSwarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems. | |
| 520 | 3 | _aThis book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike. | |
| 650 | 7 |
_2embne _aComputación evolutiva _9667195 |
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| 650 | 7 |
_2embne _aInteligencia artificial distribuida _9666577 |
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| 700 | 1 |
_aBansal, Jagdish Chand _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100803 |
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| 700 | 1 |
_aSingh, Pramod Kumar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aPal, Nikhil R. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783319913391 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319913407 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030082291 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-91341-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aPrimersemestre_2019_Robotics | ||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI |
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