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020 _a9783319196596
024 7 _a10.1007/978-3-319-19659-6
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQA402.5
_b2015 EB
100 1 _aKaveh, A.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/112926575/
_1http://dbpedia.org/resource/Kaveh_Golestan
245 1 0 _aColliding Bodies Optimization
_bExtensions and Applications
_cby A. Kaveh, V.R. Mahdavi.
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XI, 284 páginas 162 ilustraciones, 106 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aEngineering (Springer-11647)
505 0 _aTheoretical background of the CBO algorithm: Introduction -- Colliding bodies optimization -- Enhanced versions of the CBO algorithm -- CBO for multi-objective optimization problem -- Applications of the CBO: CBO for optimal design of structures with continuous variables -- CBO for optimal design of structures with discrete variables -- Optimum design of castellated beams utilizing CBO -- CBO for optimal design of concrete structures -- CBO for p-median problems -- CBO for structuring sparse matrices -- BCO and ECBO in construction management -- Appendix: Computer codes for colliding bodies optimization and its different variants.
520 3 _aThis book presents and applies a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO) for various optimization problems. The first part of the book introduces the concepts and methods involved, while the second is devoted to the applications. Though optimal design of structures is the main topic, two chapters on optimal analysis and applications in constructional management are also included.  This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies with specified masses and velocities, these bodies again separate, with new velocities. This collision causes the agents to move toward better positions in the search space.  The main algorithm (CBO) is internally parameter independent, setting it apart from previously developed meta-heuristics. This algorithm is enhanced (ECBO) for more efficient applications in the optimal design of structures.  The algorithms are implemented in standard computer programming languages (MATLAB and C++) and two main codes are provided for ease of use.
988 _aEBSPRINGER_2018
650 7 _9145705
_aOptimización matemática
_2embne
650 7 _2embne
_aProgramación matemática
_9139822
700 1 _aMahdavi, V.R.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iEdición impresa:
_z9783319196602
776 0 8 _iEdición impresa:
_z9783319196589
776 0 8 _iEdición impresa:
_z9783319387093
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-19659-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2019
_dz
_ejf
_zSI