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008 170630s2018 si | s |||| 0|eng d
020 _a9789811052217
024 7 _a10.1007/978-981-10-5221-7
_2doi
050 4 _aQA76.9.N37
_bA383 2018 EB
040 _aES-MaUEC
_bspa
245 1 0 _aAdvanced Optimization by Nature-Inspired Algorithms
_cedited by Omid Bozorg-Haddad.
264 1 _aSingapore
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XV, 159 páginas 34 ilustraciones, 4 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v720
505 0 _aIntroduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA).
520 3 _aThis book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
650 7 _9145705
_aOptimización matemática
_2embne
700 1 _aBozorg-Haddad, Omid
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/7149660142406832847/
776 0 8 _iEdición impresa:
_z9789811052200
776 0 8 _iEdición impresa:
_z9789811052224
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-5221-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b02/2019
_dz
_ef
_feng
_ggw
_h0
999 _c102980
_d102980
_x1