000 04313nam a22003855i 4500
001 276923
003 MX-SnUAN
005 20170705134158.0
007 cr nn 008mamaa
008 150903s2008 gw | o |||| 0|eng d
020 _a9783540729600
_99783540729600
024 7 _a10.1007/9783540729600
_2doi
035 _avtls000350452
039 9 _a201509030455
_bVLOAD
_c201405050351
_dVLOAD
_y201402171057
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aSiarry, Patrick.
_eeditor.
_9299175
245 1 0 _aAdvances in Metaheuristics for Hard Optimization /
_cedited by Patrick Siarry, Zbigniew Michalewicz.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _axvI, 481 páginas 167 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aNatural Computing Series,
_x1619-7127
500 _aSpringer eBooks
505 0 _aComparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization -- Four-bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing -- “MOSS-II” Tabu/Scatter Search for Nonlinear Multiobjective Optimization -- Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search -- A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation -- An Ant-bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions -- Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems -- New Ways to Calibrate Evolutionary Algorithms -- Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms -- Local Search Based on Genetic Algorithms -- Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality -- Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm -- Evolutionary Generation of Artificial Creature’s Personality for Ubiquitous Services -- Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems -- Coevolutionary Genetic Algorithm to Solve Economic Dispatch -- An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem -- Optimizing Stochastic Functions Using a Genetic Algorithm: An Aeronautic Military Application -- Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms -- Making a Difference to Differential Evolution -- Hidden Markov Models Training Using Population-based Metaheuristics -- Inequalities and Target Objectives for Metaheuristic Search – Part I: Mixed Binary Optimization.
520 _aMany advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics. The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications. This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aMichalewicz, Zbigniew.
_eeditor.
_9299176
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540729594
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-72960-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c276923
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