000			04976nam a22005175i 4500
001			978-0-387-49650-4
003			DE-He213
005			20250710084004.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387496504 _a99780387496504
024	7		_a10.1007/978-0-387-49650-4 _2doi
082	0	4	_a006 _223
100	1		_aRiolo, Rick. _eeditor.
245	1	0	_aGenetic Programming Theory and Practice IV _h[recurso electrónico] / _cedited by Rick Riolo, Terence Soule, Bill Worzel.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXVI, 338 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aGenetic and Evolutionary Computation, _x1932-0167
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.
650		0	_aCOMPUTER SCIENCE.
650		0	_aINFORMATION THEORY.
650		0	_aCOMPUTER SOFTWARE.
650		0	_aELECTRONIC DATA PROCESSING.
650		0	_aARTIFICIAL INTELLIGENCE.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aCOMPUTING METHODOLOGIES.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
650	2	4	_aTHEORY OF COMPUTATION.
650	2	4	_aALGORITHM ANALYSIS AND PROBLEM COMPLEXITY.
650	2	4	_aPROGRAMMING TECHNIQUES.
700	1		_aSoule, Terence. _eeditor.
700	1		_aWorzel, Bill. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387333755
830		0	_aGenetic and Evolutionary Computation, _x1932-0167
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-49650-4 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c57867 _d57867