| 000 | 02896nam a22004215i 4500 | ||
|---|---|---|---|
| 999 |
_c85461 _d85461 _x1 |
||
| 001 | 85461 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240111050122.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160120s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319285030 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aQ342 _b.C848 2016 |
|
| 082 | 0 | 4 | _a006.3 |
| 100 | 1 |
_aCuevas, Erik. _944351 _0comprobar XX4978079 |
|
| 245 | 1 | 0 |
_aAdvances of Evolutionary Computation: Methods and Operators _cby Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XIV, 202 páginas) _b48 ilustraciones, 43 ilustraciones en color |
||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v629 |
|
| 505 | 0 | _aIntroduction -- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization -- An Algorithm for Global Optimization Inspired by Collective Animal Behavior -- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization -- Optimization Based on the Behavior of Locust Swarms. . | |
| 520 | 3 | _aThe goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be e?ective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method. | |
| 650 | 7 |
_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
|
| 650 | 0 | 7 |
_9667195 _aComputación evolutiva _2embne |
| 700 | 1 |
_aDíaz Cortés, Margarita Arimatea _0Local _998432 |
|
| 700 | 1 |
_aOliva Navarro, Diego Alberto. _998433 _0Local |
|
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-28503-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319285030 | ||
| 907 |
_a.b12947398 _b10-10-17 _c21-11-16 |
||
| 942 |
_2lcc _cLE |
||
| 945 |
_aQ342 .C848 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11590981 _z06-04-17 |
||
| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 998 |
_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0 |
||