| 000 | 02905nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-28503-0 | ||
| 003 | DE-He213 | ||
| 005 | 20200421112547.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160120s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319285030 _9978-3-319-28503-0 |
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| 024 | 7 |
_a10.1007/978-3-319-28503-0 _2doi |
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| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aCuevas, Erik. _eauthor. |
|
| 245 | 1 | 0 |
_aAdvances of Evolutionary Computation: Methods and Operators _h[electronic resource] / _cby Erik Cuevas, Margarita Arimatea D�iaz Cort�es, Diego Alberto Oliva Navarro. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aXIV, 202 p. 48 illus., 43 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_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 | _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 effective 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 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aD�iaz Cort�es, Margarita Arimatea. _eauthor. |
|
| 700 | 1 |
_aOliva Navarro, Diego Alberto. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319285023 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v629 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-28503-0 |
| 912 | _aZDB-2-ENG | ||
| 942 | _cEBK | ||
| 999 |
_c58670 _d58670 |
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