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020 _a3319515942
020 _a3319515950
_q(electronic bk.)
020 _a9783319515946
020 _a9783319515953
_q(electronic bk.)
020 _z9783319515946
_q(print)
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
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aStudies in computational intelligence
_x1860-949X
_vvolume 698
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
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
999 _c95258
_d95258
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