000 03885nam a22003975i 4500
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003 MX-SnUAN
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007 cr nn 008mamaa
008 150903s2008 gw | o |||| 0|eng d
020 _a9783540762867
_99783540762867
024 7 _a10.1007/9783540762867
_2doi
035 _avtls000351199
039 9 _a201509030505
_bVLOAD
_c201405060247
_dVLOAD
_y201402171115
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aYang, Ang.
_eeditor.
_9333638
245 1 0 _aSuccess in Evolutionary Computation /
_cedited by Ang Yang, Yin Shan, Lam Thu Bui.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aviii, 372 páginas 142 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 _aStudies in Computational Intelligence,
_x1860-949X ;
_v92
500 _aSpringer eBooks
505 0 _aTheory -- Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problems -- The Automated Design of Artificial Neural Networks Using Evolutionary Computation -- A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications -- Data Mining and Intelligent Multi-Agent Technologies in Medical Informatics -- Applications -- Evolving Trading Rules -- A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model -- Optimal Management of Agricultural Systems -- Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs -- Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System -- Privacy Protection with Genetic Algorithms -- A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem -- Survivable Network Design with an Evolution Strategy -- Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits -- Evolving Cooperative Agents in Economy Market Using Genetic Algorithms -- Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation -- Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems – An Industry Case Study.
520 _aDarwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting rapidly evolving field.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aShan, Yin.
_eeditor.
_9333639
700 1 _aBui, Lam Thu.
_eeditor.
_9333640
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540762850
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-76286-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c297726
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