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020 _a9780387496504
_99780387496504
024 7 _a10.1007/9780387496504
_2doi
035 _avtls000331764
039 9 _a201509030212
_bVLOAD
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050 4 _aQA75.5-76.95
100 1 _aRiolo, Rick.
_eeditor.
_9299568
245 1 0 _aGenetic Programming Theory and Practice IV /
_cedited by Rick Riolo, Terence Soule, Bill Worzel.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _axvI, 338 páginas
_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 _aGenetic and Evolutionary Computation,
_x1932-0167
500 _aSpringer eBooks
505 0 _aGenetic Programming: Theory and Practice -- Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge -- Lifting the Curse of Dimensionality -- Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots -- Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification -- Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors -- Multidimensional Tags, Cooperative Populations, and Genetic Programming -- Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations -- Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits -- Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data -- Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization -- Applying Genetic Programming to Reservoir History Matching Problem -- Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs -- Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms -- Phase Transitions in Genetic Programming Search -- Efficient Markov Chain Model of Machine Code Program Execution and Halting -- A Re-Examination of a Real World Blood Flow Modeling Problem Using Context-Aware Crossover -- Large-Scale, Time-Constrained Symbolic Regression -- Stock Selection: An Innovative Application of Genetic Programming Methodology.
520 _aGenetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. This valuable reference discusses the hurdles faced in solving large-scale, cutting edge applications, describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control, and investigates evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers. Genetic Programming Theory and Practice IV represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aSoule, Terence.
_eeditor.
_9299569
700 1 _aWorzel, Bill.
_eeditor.
_9299570
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387333755
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-49650-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c277100
_d277100