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| 003 | ES-MaUEC | ||
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| 007 | cr cnu|||unuuu | ||
| 008 | 170124s2017 sz a ob 000 0 eng d | ||
| 020 | _a3319515942 | ||
| 020 |
_a3319515950 _q(electronic bk.) |
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| 020 | _a9783319515946 | ||
| 020 |
_a9783319515953 _q(electronic bk.) |
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| 020 |
_z9783319515946 _q(print) |
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| 035 |
_a(OCoLC)969844867 _z(OCoLC)974650248 _z(OCoLC)981109367 _z(OCoLC)981852739 _z(OCoLC)1005758643 _z(OCoLC)1011954003 |
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| 050 | 4 |
_aQ337.3 _bK357 2017 EB |
|
| 100 | 1 |
_aKaipa, Krishnanand N., _eautor |
|
| 245 | 1 | 0 |
_aGlowworm swarm optimization : _btheory, algorithms, and applications _cKrishnanand N. Kaipa, Debasish Ghose. |
| 264 | 1 |
_aCham, Switzerland _bSpringer _c2017 |
|
| 300 |
_a1 recurso en línea (xxvi, 248 páginas) _bilustraciones |
||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aStudies in computational intelligence _x1860-949X _vvolume 698 |
|
| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 504 | _aIncluye referencias bibliográficas | ||
| 505 | 0 | _aPreface -- Acknowledgements -- 1 From Natural to Synthetic Swarms -- 2 Glowworm Swarm Optimization: Algorithm Development -- 3 Theoretical Foundations -- 4 Multimodal Function Optimization -- 5 Experiments using Physical Simulations and Real Robots -- 6 Applications to Ubiquitous Computing Environments -- 7 Pursuit of Multiple Mobile Signal Sources -- 8 GSO Applications and Extensions. | |
| 520 | 3 | _aThis book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics. | |
| 650 | 7 |
_aAlgoritmos _2embne _0(OCoLC)fst00805020 _0 _9141162 |
|
| 700 | 1 |
_aGhose, Debasish, _eautor |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-51595-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017B | ||
| 998 |
_b02/2018 _dz _e- _zSI |
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| 999 |
_c95258 _d95258 _x1 |
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