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020 _a9783319515953
_9978-3-319-51595-3
024 7 _a10.1007/978-3-319-51595-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aKaipa, Krishnanand N.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952200
245 1 0 _aGlowworm Swarm Optimization
_h[electronic resource] :
_bTheory, Algorithms, and Applications /
_cby Krishnanand N. Kaipa, Debasish Ghose.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXVI, 248 p. 122 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v698
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 _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 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aAlgorithms.
_93390
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAlgorithms.
_93390
700 1 _aGhose, Debasish.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952201
710 2 _aSpringerLink (Online service)
_952202
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319515946
776 0 8 _iPrinted edition:
_z9783319515960
776 0 8 _iPrinted edition:
_z9783319846941
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v698
_952203
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51595-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78910
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